{
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"
                }
            },
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "![border.png](attachment:070aeced-e5f5-4534-85e5-688b0031c657.png)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# MSTICpy at Blackhat Arsenal 2020"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Setup\n",
                "\n",
                "MSTICpy includes a feature called [nbinit](https://msticpy.readthedocs.io/en/latest/msticpy.nbtools.html?highlight=nbinit#module-msticpy.init.nbinit) that handles the process of installing and importing modules into a notebook environment. This was developed to allow for a clearer starting cell in notebooks and to avoid users being presented with a very large cell block at the top of a notebook.<br>\n",
                "By passing the notebook namespace to init_notebook() this function handles the job of installing and importing core MSTICpy packages along with any others that might be needed by a notebook.\n",
                "\n",
                "You must have msticpy installed to run this notebook:\n",
                "```\n",
                "%pip install --upgrade msticpy[timeseries, splunk, azsentinel]\n",
                "```\n",
                "MSTICpy versions > 0.8.5\n",
                "\n",
                "The notebook also uses MSTIC Notebooklets:\n",
                "```\n",
                "%pip install --upgrade msticnb\n",
                "```"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [
                {
                    "ename": "ImportError",
                    "evalue": "cannot import name 'nbinit' from 'msticpy.nbtools' (e:\\src\\msticpy\\msticpy\\nbtools\\__init__.py)",
                    "output_type": "error",
                    "traceback": [
                        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
                        "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
                        "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_45856\\3785168399.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mmsticpy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnbtools\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mnbinit\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m extra_imports = [\n\u001b[0;32m      3\u001b[0m     \u001b[1;34m\"msticpy.vis.timeseries, display_timeseries_anomolies\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[1;34m\"msticpy.analysis.timeseries, timeseries_anomalies_stl\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[1;34m\"datetime, datetime\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
                        "\u001b[1;31mImportError\u001b[0m: cannot import name 'nbinit' from 'msticpy.nbtools' (e:\\src\\msticpy\\msticpy\\nbtools\\__init__.py)"
                    ]
                }
            ],
            "source": [
                "from msticpy.nbtools import nbinit\n",
                "extra_imports = [\n",
                "    \"msticpy.vis.timeseries, display_timeseries_anomolies\",\n",
                "    \"msticpy.analysis.timeseries, timeseries_anomalies_stl\",\n",
                "    \"datetime, datetime\",\n",
                "    \"msticpy.vis.nbdisplay, draw_alert_entity_graph\",\n",
                "    \"msticpy.context.ip_utils, convert_to_ip_entities\",\n",
                "    \"msticpy.vis.ti_browser, browse_results\",\n",
                "    \"IPython.display, Image\",\n",
                "    \"msticpy.context.ip_utils, get_whois_info\",\n",
                "    \"msticpy.context.ip_utils, get_ip_type\"\n",
                "    \n",
                "]\n",
                "\n",
                "nbinit.init_notebook(\n",
                "    namespace=globals(),\n",
                "    additional_packages=[\"pyvis\"],\n",
                "    extra_imports=extra_imports,\n",
                ");\n",
                "\n",
                "from msticpy.context import TILookup\n",
                "ti = TILookup()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Data Acquisition - Splunk\n",
                "The starting point for many notebooks is ingesting data to conduct analysis or investigation of. MSTICpy has a number of [query providers](https://msticpy.readthedocs.io/en/latest/data_acquisition/DataProviders.html) to allow users to query and return data from a number of sources. Below we are using the Splunk query provider to return data from our Splunk instance.<br> \n",
                "> Note: Using *Splunk* API via *splunk-sdk* Python package - the MSTICpy Splunk provider is in beta.\n",
                "\n",
                "Data is returned in a Pandas [DataFrame](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html) for easy manipulation and to provide a common interface for other features in MSTICpy.<br><br>\n",
                "Here we are getting a summary of our network traffic  in the time period we are interested in.\n"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "splunk_host = widgets.Text(description='Splunk Host:')\n",
                "splunk_user = widgets.Text(description='Splunk User:')\n",
                "splunk_pwd = widgets.Password(description='Splunk Pwd:')\n",
                "display(splunk_host)\n",
                "display(splunk_user)\n",
                "display(splunk_pwd)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "connected\n"
                    ]
                }
            ],
            "source": [
                "# Initialize a Splunk provider and connect to our Splunk instance.\n",
                "splunk_prov = QueryProvider(\"Splunk\")\n",
                "splunk_prov.connect(host=splunk_host.value, username=splunk_user.value, password=splunk_pwd.value)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
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                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>TotalBytesSent</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>TimeGenerated</th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>2020-07-06 00:00:00+00:00</th>\n",
                            "      <td>10823</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2020-07-06 01:00:00+00:00</th>\n",
                            "      <td>14821</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2020-07-06 02:00:00+00:00</th>\n",
                            "      <td>13532</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2020-07-06 03:00:00+00:00</th>\n",
                            "      <td>11947</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2020-07-06 04:00:00+00:00</th>\n",
                            "      <td>11193</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                          TotalBytesSent\n",
                            "TimeGenerated                           \n",
                            "2020-07-06 00:00:00+00:00          10823\n",
                            "2020-07-06 01:00:00+00:00          14821\n",
                            "2020-07-06 02:00:00+00:00          13532\n",
                            "2020-07-06 03:00:00+00:00          11947\n",
                            "2020-07-06 04:00:00+00:00          11193"
                        ]
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# Define a Splunk Query and run it.\n",
                "splunk_query = \"search host=network_sum index=blackhat earliest=0 | table TimeGenerated, TotalBytesSent\"\n",
                "\n",
                "stldemo = splunk_prov.exec_query(splunk_query)\n",
                "stldemo['TimeGenerated'] = pd.to_datetime(stldemo['TimeGenerated'])\n",
                "stldemo.set_index('TimeGenerated', inplace=True)\n",
                "stldemo.sort_index(inplace=True)\n",
                "stldemo.head()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Timeseries Analysis of detected Anomalies\n",
                "Once we have queried the data, there are a number of analysis features within MSTICpy to help understand the data and identify potential security incidents. \n",
                "\n",
                "In order to effectively hunt in a dataset analysts need to focus on specific events of interest. Below we use MSTICpy's [time series analysis](https://msticpy.readthedocs.io/en/latest/msticpy.analysis.html?highlight=timeseries#module-msticpy.analysis.timeseries) machine learning capabilities to identify anomalies in our network traffic for further investigation.<br>\n",
                "As well as computing anomalies we visualize the data so that we can more easily see where these anomalies present themselves.\n",
                "\n",
                "> Note: Visualization powered by *Bokeh*\n"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
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                            "Column(id='1406', ...)"
                        ]
                    },
                    "execution_count": 9,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# Conduct our timeseries analyis\n",
                "output = timeseries_anomalies_stl(stldemo)\n",
                "# Visualize the timeseries and any anomalies\n",
                "display_timeseries_anomolies(data=output, y= 'TotalBytesSent')"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<p style=''>Anomalous session start time: 2020-07-10 18:00:00+00:00 - end time: 2020-07-10 22:00:00+00:00</p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Identify when the anomalies occur so that we can use this timnerange to scope the next stage of our investigation.\n",
                "start = output[output['anomalies']==1]['TimeGenerated'].min()\n",
                "end = output[output['anomalies']==1]['TimeGenerated'].max() +  pd.to_timedelta(1, unit='h')\n",
                "\n",
                "# md and md_warn are MSTICpy features to provide simple, and clean output in notebook cells\n",
                "md(f\"Anomalous session start time: {start} - end time: {end}\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Enrich and Pivot on IP Addresses\n",
                "With the time series analysis identifying several events of interest we need additional context to be able to effectively conduct a security investigation. MSTICpy has a range of features to help enrich key data types and provide that context depending on the entities being used. <br>\n",
                "To get these entities we again query Splunk to get the IP addresses associated with the anomalous traffic."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<p style='font-weight: bold'>Top talkers during anomolous session: </p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/plain": [
                            "SourceIP       DestinationIP\n",
                            "20.185.182.48  31.220.60.108    8328\n",
                            "10.16.12.1     40.124.45.19     1004\n",
                            "10.0.3.5       40.124.45.19      621\n",
                            "10.4.5.12      13.71.172.130     247\n",
                            "               40.77.232.95      189\n",
                            "Name: TotalBytesSent, dtype: int32"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "splunk_query = \"search host=network_raw index=blackhat earliest=0 | table TimeGenerated, Action, SourceIP, DestinationIP, TotalBytesSent\"\n",
                "net_data = splunk_prov.exec_query(splunk_query)\n",
                "\n",
                "# We need to identify what network endpoints are associated with the anomalies\n",
                "net_data['TotalBytesSent'] = net_data['TotalBytesSent'].astype(int)\n",
                "grouped_df = net_data.groupby(['SourceIP', 'DestinationIP'])\n",
                "noisy_hosts = grouped_df['TotalBytesSent'].agg(np.sum).sort_values(ascending=False)\n",
                "md(\"Top talkers during anomolous session: \", 'bold')\n",
                "display(noisy_hosts[:5])\n",
                "source_ip, dest_ip = noisy_hosts.index[0][0:2]"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Network data enrichment\n",
                "### Network data enrichment\n",
                "MSTICpy can help analysts investigate an IP address, using open source information such as [passive DNS](https://msticpy.readthedocs.io/en/latest/data_acquisition/TIProviders.html?highlight=passive%20dns#use-to-do-a-passive-dns-lookup) data, [IP geolocation](https://msticpy.readthedocs.io/en/latest/data_acquisition/GeoIPLookups.html) and [threat intelligence](https://msticpy.readthedocs.io/en/latest/data_acquisition/TIProviders.html) feeds to provide valuable context.\n",
                "\n",
                "> Note: Whois module uses *ipwhois*, TI module uses services from *OTX*, *VirusTotal*, *XForce*, *AzureSentinel*, and *OpenPageRank*"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<p style='font-weight: bold'>Target IP: 31.220.60.108</p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<p style=''>31.220.60.108 is a Public IP address</p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<p style='font-weight: bold'>Whois Registrar Info :</p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<p style=''>ASN Owner: AS-HOSTINGER, LT</p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<p style=''>ASN Address: Hostinger International Ltd.\n",
                            "61 Lordou Vyronos\n",
                            "Lumiel Building, 4th floor\n",
                            "6023\n",
                            "Larnaca\n",
                            "CYPRUS</p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<p style='font-weight: bold'>Passive DNS records for 31.220.60.108:</p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "joblly.com  -  2020-07-09T10:48:00Z\n",
                        "cdn-xhr.com  -  2020-07-09T10:48:00Z\n",
                        "rackxhr.com  -  2020-07-09T10:48:00Z\n",
                        "hixrq.net  -  2020-07-09T10:48:00Z\n",
                        "idpcdn-cloud.com  -  2020-07-09T10:48:00Z\n",
                        "thxrq.com  -  2020-07-09T10:48:00Z\n",
                        "hivnd.net  -  2020-07-09T10:48:00Z\n"
                    ]
                },
                {
                    "data": {
                        "text/html": [
                            "<p style='font-weight: bold'>Threat Intel results for 31.220.60.108:</p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>Ioc</th>\n",
                            "      <th>IocType</th>\n",
                            "      <th>QuerySubtype</th>\n",
                            "      <th>Provider</th>\n",
                            "      <th>Result</th>\n",
                            "      <th>Severity</th>\n",
                            "      <th>Details</th>\n",
                            "      <th>RawResult</th>\n",
                            "      <th>Reference</th>\n",
                            "      <th>Status</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>OTX</th>\n",
                            "      <td>31.220.60.108</td>\n",
                            "      <td>ipv4</td>\n",
                            "      <td>None</td>\n",
                            "      <td>OTX</td>\n",
                            "      <td>True</td>\n",
                            "      <td>high</td>\n",
                            "      <td>{'pulse_count': 6, 'names': ['Card Skimmer Found Hitting Vulnerable E-Commerce Sites', 'Credit c...</td>\n",
                            "      <td>{'sections': ['general', 'geo', 'reputation', 'url_list', 'passive_dns', 'malware', 'nids_list',...</td>\n",
                            "      <td>https://otx.alienvault.com/api/v1/indicators/IPv4/31.220.60.108/general</td>\n",
                            "      <td>0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>XForce</th>\n",
                            "      <td>31.220.60.108</td>\n",
                            "      <td>ipv4</td>\n",
                            "      <td>None</td>\n",
                            "      <td>XForce</td>\n",
                            "      <td>True</td>\n",
                            "      <td>high</td>\n",
                            "      <td>{'score': 7.1, 'cats': {'Malware': 71}, 'categoryDescriptions': {'Malware': 'This category lists...</td>\n",
                            "      <td>{'ip': '31.220.60.108', 'history': [{'created': '2012-03-22T07:26:00.000Z', 'reason': 'Regional ...</td>\n",
                            "      <td>https://api.xforce.ibmcloud.com/ipr/31.220.60.108</td>\n",
                            "      <td>0</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                  Ioc IocType QuerySubtype Provider Result Severity  \\\n",
                            "OTX     31.220.60.108    ipv4         None      OTX   True     high   \n",
                            "XForce  31.220.60.108    ipv4         None   XForce   True     high   \n",
                            "\n",
                            "                                                                                                    Details  \\\n",
                            "OTX     {'pulse_count': 6, 'names': ['Card Skimmer Found Hitting Vulnerable E-Commerce Sites', 'Credit c...   \n",
                            "XForce  {'score': 7.1, 'cats': {'Malware': 71}, 'categoryDescriptions': {'Malware': 'This category lists...   \n",
                            "\n",
                            "                                                                                                  RawResult  \\\n",
                            "OTX     {'sections': ['general', 'geo', 'reputation', 'url_list', 'passive_dns', 'malware', 'nids_list',...   \n",
                            "XForce  {'ip': '31.220.60.108', 'history': [{'created': '2012-03-22T07:26:00.000Z', 'reason': 'Regional ...   \n",
                            "\n",
                            "                                                                      Reference  \\\n",
                            "OTX     https://otx.alienvault.com/api/v1/indicators/IPv4/31.220.60.108/general   \n",
                            "XForce                        https://api.xforce.ibmcloud.com/ipr/31.220.60.108   \n",
                            "\n",
                            "       Status  \n",
                            "OTX         0  \n",
                            "XForce      0  "
                        ]
                    },
                    "execution_count": 12,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# Get and display WhoIs data\n",
                "md(f\"Target IP: {dest_ip}\", 'bold')\n",
                "md(f\"{dest_ip} is a {get_ip_type(dest_ip)} IP address\")\n",
                "whois_info = get_whois_info(dest_ip)\n",
                "md(f'Whois Registrar Info :', styles=[\"bold\"])\n",
                "md(f\"ASN Owner: {whois_info[0]}\")\n",
                "md(f\"ASN Address: {whois_info[1]['nets'][0]['address']}\")\n",
                "    \n",
                "# Get Passive DNS results\n",
                "result = ti.lookup_ioc(observable=dest_ip, ico_type=\"ipv4\", ioc_query_type=\"passivedns\", providers=[\"XForce\"])\n",
                "md(f\"Passive DNS records for {dest_ip}:\", styles=[\"bold\"])\n",
                "for res in ti.result_to_df(result)['RawResult'][0]['Passive']['records']:\n",
                "    print(res['value'],\" - \", res['last'])\n",
                "    \n",
                "# Lookup ip IPAddress in threat intel feeds\n",
                "resp = ti.lookup_ioc(observable=dest_ip)\n",
                "md(f\"Threat Intel results for {dest_ip}:\", styles=[\"bold\"])\n",
                "ti.result_to_df(resp)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "As well as returning the raw data from these enrichment sources MSTICpy has features to allow for visualization of that data to make it more accessible. Below we get the [IP geolocation](https://msticpy.readthedocs.io/en/latest/data_acquisition/GeoIPLookups.html) and use the [Folium Map](https://msticpy.readthedocs.io/en/latest/visualization/FoliumMap.html) feature to plot the IP address location on an interactive map.\n",
                "> Note: uses the Python *Folium* package, which is a wrapper around *Leafletjs*"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [
                {
                    "ename": "NameError",
                    "evalue": "name 'FoliumMap' is not defined",
                    "output_type": "error",
                    "traceback": [
                        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
                        "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
                        "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_45856\\33716795.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Plot IP geolocation on a map\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mfolium_map\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mFoliumMap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mzoom_start\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mmd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'<h3>Location of remote IP</h3>'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mfolium_map\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_ip_cluster\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mip_entities\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mconvert_to_ip_entities\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdest_ip\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"red\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mfolium_map\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcenter_map\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
                        "\u001b[1;31mNameError\u001b[0m: name 'FoliumMap' is not defined"
                    ]
                }
            ],
            "source": [
                "# Plot IP geolocation on a map\n",
                "folium_map = FoliumMap(zoom_start=4)\n",
                "md('<h3>Location of remote IP</h3>')\n",
                "folium_map.add_ip_cluster(ip_entities=convert_to_ip_entities(dest_ip), color=\"red\")\n",
                "folium_map.center_map()\n",
                "folium_map"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Host Lookup\n",
                "Once we have some context on our remote IP address we can pivot our investigation to look at the local host that has been communicating with it."
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Data Acquisition from Azure Sentinel\n",
                "As well as *Splunk*, MSTICpy has a query provider for *Azure Sentinel*. For the next phase of our investigation we are going to use this query provider to acquire data.<br><br>\n",
                "With the Splunk connection we provided connection details directly to our query provider when calling `.connect()`. We can also store details in a [msticpy configuration file](https://msticpy.readthedocs.io/en/latest/getting_started/msticpyconfig.html) (`msticpyconfig.yaml`) and pass them to the query provider programmatically. Here we use the [Workspace Config](https://msticpy.readthedocs.io/en/latest/msticpy.common.html?highlight=WorkspaceConfig#msticpy.common.wsconfig.WorkspaceConfig) feature to access this configuration and retrieve the items we need to authenticate to Azure Sentinel.\n",
                "\n",
                "> **Note**: the authentication flow for Azure Sentinel is different from Splunk and use the Oauth2.0 device code process."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Please wait. Loading Kqlmagic extension...\n"
                    ]
                },
                {
                    "data": {
                        "application/javascript": "try {IPython.notebook.kernel.reconnect();} catch(err) {;}",
                        "text/plain": [
                            "<IPython.core.display.Javascript object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/javascript": "try {IPython.notebook.kernel.execute(\"NOTEBOOK_URL = '\" + window.location + \"'\");} catch(err) {;}",
                        "text/plain": [
                            "<IPython.core.display.Javascript object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/javascript": "try {IPython.notebook.kernel.execute(\"NOTEBOOK_URL = '\" + window.location + \"'\");} catch(err) {;}",
                        "text/plain": [
                            "<IPython.core.display.Javascript object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<!DOCTYPE html>\n",
                            "                            <html><body>\n",
                            "\n",
                            "                            <!-- h1 id=\"user_code_p\"><b>ABFZ59WQV</b><br></h1-->\n",
                            "\n",
                            "                            <input  id=\"kql_MagicCodeAuthInput\" type=\"text\" readonly style=\"font-weight: bold; border: none;\" size = '9' value='ABFZ59WQV'>\n",
                            "\n",
                            "                            <button id='kql_MagicCodeAuth_button', onclick=\"this.style.visibility='hidden';kql_MagicCodeAuthFunction()\">Copy code to clipboard and authenticate</button>\n",
                            "\n",
                            "                            <script>\n",
                            "                            var kql_MagicUserCodeAuthWindow = null;\n",
                            "                            function kql_MagicCodeAuthFunction() {\n",
                            "                                /* Get the text field */\n",
                            "                                var copyText = document.getElementById(\"kql_MagicCodeAuthInput\");\n",
                            "\n",
                            "                                /* Select the text field */\n",
                            "                                copyText.select();\n",
                            "\n",
                            "                                /* Copy the text inside the text field */\n",
                            "                                document.execCommand(\"copy\");\n",
                            "\n",
                            "                                /* Alert the copied text */\n",
                            "                                // alert(\"Copied the text: \" + copyText.value);\n",
                            "\n",
                            "                                var w = screen.width / 2;\n",
                            "                                var h = screen.height / 2;\n",
                            "                                params = 'width='+w+',height='+h\n",
                            "                                kql_MagicUserCodeAuthWindow = window.open('https://microsoft.com/devicelogin', 'kql_MagicUserCodeAuthWindow', params);\n",
                            "\n",
                            "                                // TODO: save selected cell index, so that the clear will be done on the lince cell\n",
                            "                            }\n",
                            "                            </script>\n",
                            "\n",
                            "                            </body></html>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<!DOCTYPE html>\n",
                            "                            <html><body><script>\n",
                            "\n",
                            "                                // close authentication window\n",
                            "                                if (kql_MagicUserCodeAuthWindow && kql_MagicUserCodeAuthWindow.opener != null && !kql_MagicUserCodeAuthWindow.closed) {\n",
                            "                                    kql_MagicUserCodeAuthWindow.close()\n",
                            "                                }\n",
                            "                                // TODO: make sure, you clear the right cell. BTW, not sure it is a must to do any clearing\n",
                            "\n",
                            "                                // clear output cell\n",
                            "                                Jupyter.notebook.clear_output(Jupyter.notebook.get_selected_index())\n",
                            "\n",
                            "                                // TODO: if in run all mode, move to last cell, otherwise move to next cell\n",
                            "                                // move to next cell\n",
                            "\n",
                            "                            </script></body></html>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<!DOCTYPE html>\n",
                            "            <html><body>\n",
                            "            <div style=''>\n",
                            "            \n",
                            "            <button onclick=\"this.style.visibility='visible';\n",
                            "            kql_MagicLaunchWindowFunction('kqlmagic/temp_files/ea778663-4a01-4aa9-b6ce-c229e383c8ae/_52b1ab41-869e-4138-9e40-2a4457f09bf0_at_loganalytics_schema.html', 'fullscreen=no,directories=no,location=no,menubar=no,resizable=yes,scrollbars=yes,status=no,titlebar=no,toolbar=no,', '_52b1ab41_869e_4138_9e40_2a4457f09bf0_at_loganalytics_schema', '');\n",
                            "            kql_MagicCloseWindow(kql_Magic__52b1ab41_869e_4138_9e40_2a4457f09bf0_at_loganalytics_schema, -1, -1);\">\n",
                            "            popup schema 52b1ab41-869e-4138-9e40-2a4457f09bf0@loganalytics</button>\n",
                            "            </div>\n",
                            "\n",
                            "            <script>\n",
                            "            var kql_Magic__52b1ab41_869e_4138_9e40_2a4457f09bf0_at_loganalytics_schema = null;\n",
                            "\n",
                            "\n",
                            "            function kql_MagicCloseWindow(window_obj, obj_secs, itself_secs) {\n",
                            "                if (obj_secs >= 0) {\n",
                            "                    _timeout = setTimeout(function(){\n",
                            "                        window_obj.close();\n",
                            "                        if (itself_secs >= 0) {\n",
                            "                            __timeout = setTimeout(function(){window.close();}, itself_secs * 1000);\n",
                            "                        }\n",
                            "                    }, obj_secs * 1000);\n",
                            "                } else if (itself_secs >= 0) {\n",
                            "                    _timeout = setTimeout(function(){window.close();}, itself_secs * 1000);\n",
                            "                }\n",
                            "            }\n",
                            "\n",
                            "            function kql_MagicLaunchWindowFunction(file_path, window_params, window_name, host_or_text) {\n",
                            "                var url;\n",
                            "                if (host_or_text == 'text') {\n",
                            "                    url = ''\n",
                            "                } else if (file_path.startsWith('http')) {\n",
                            "                    url = file_path;\n",
                            "                } else {\n",
                            "                    var base_url = '';\n",
                            "\n",
                            "                    // check if azure notebook\n",
                            "                    var azure_host = (host_or_text == null || host_or_text.length == 0) ? 'https://notebooks.azure.com' : host_or_text;\n",
                            "                    var start = azure_host.search('//');\n",
                            "                    var azure_host_suffix = '.' + azure_host.substring(start+2);\n",
                            "\n",
                            "                    var loc = String(window.location);\n",
                            "                    var end = loc.search(azure_host_suffix);\n",
                            "                    start = loc.search('//');\n",
                            "                    if (start > 0 && end > 0) {\n",
                            "                        var parts = loc.substring(start+2, end).split('-');\n",
                            "                        if (parts.length == 2) {\n",
                            "                            var library = parts[0];\n",
                            "                            var user = parts[1];\n",
                            "                            base_url = azure_host + '/api/user/' +user+ '/library/' +library+ '/html/';\n",
                            "                        }\n",
                            "                    }\n",
                            "\n",
                            "                    // check if local jupyter lab\n",
                            "                    if (base_url.length == 0) {\n",
                            "                        var configDataScipt  = document.getElementById('jupyter-config-data');\n",
                            "                        if (configDataScipt != null) {\n",
                            "                            var jupyterConfigData = JSON.parse(configDataScipt.textContent);\n",
                            "                            if (jupyterConfigData['appName'] == 'JupyterLab' && jupyterConfigData['serverRoot'] != null &&  jupyterConfigData['treeUrl'] != null) {\n",
                            "                                var basePath = 'C:/Users/pebryan/Documents/source/notebooks' + '/';\n",
                            "                                if (basePath.startsWith(jupyterConfigData['serverRoot'])) {\n",
                            "                                    base_url = '/files/' + basePath.substring(jupyterConfigData['serverRoot'].length+1);\n",
                            "                                }\n",
                            "                            }\n",
                            "                        }\n",
                            "                    }\n",
                            "\n",
                            "                    // assume local jupyter notebook\n",
                            "                    if (base_url.length == 0) {\n",
                            "\n",
                            "                        var parts = loc.split('/');\n",
                            "                        parts.pop();\n",
                            "                        base_url = parts.join('/') + '/';\n",
                            "                    }\n",
                            "                    url = base_url + file_path;\n",
                            "                }\n",
                            "\n",
                            "                window.focus();\n",
                            "                var w = screen.width / 2;\n",
                            "                var h = screen.height / 2;\n",
                            "                params = 'width='+w+',height='+h;\n",
                            "                // kql_Magic + window_name should be a global variable \n",
                            "                window_obj = window.open(url, window_name, window_params + params);\n",
                            "                if (url == '') {\n",
                            "                    var el = window_obj.document.createElement('p');\n",
                            "                    window_obj.document.body.overflow = 'auto';\n",
                            "                    el.style.top = 0;\n",
                            "                    el.style.left = 0;\n",
                            "                    el.innerHTML = file_path;\n",
                            "                    window_obj.document.body.appendChild(el);\n",
                            "                }\n",
                            "                kql_Magic__52b1ab41_869e_4138_9e40_2a4457f09bf0_at_loganalytics_schema = window_obj;\n",
                            "            }\n",
                            "            </script>\n",
                            "\n",
                            "            </body></html>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/javascript": "try {IPython.notebook.kernel.execute(\"NOTEBOOK_URL = '\" + window.location + \"'\");} catch(err) {;}",
                        "text/plain": [
                            "<IPython.core.display.Javascript object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Initalize and connect to Azure Sentinel using details from our config file.\n",
                "qry_prov = QueryProvider('LogAnalytics')\n",
                "wkspace = WorkspaceConfig()\n",
                "qry_prov.connect(wkspace.code_connect_str)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Once connected we can query Azure Sentinel in a similar way to Splunk - by providing a text query string.\n",
                "<br>We substitute the `source_ip` value we obtained in the previous section *Enrich and Pivot on IP Addresses*"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "application/javascript": "try {IPython.notebook.kernel.execute(\"NOTEBOOK_URL = '\" + window.location + \"'\");} catch(err) {;}",
                        "text/plain": [
                            "<IPython.core.display.Javascript object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<p style=''>Host to investigate: <b>BlackHatDemoHost</b></p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Query Azure Sentinel to get host details.\n",
                "query = f\"Heartbeat | where ComputerIP == '{source_ip}'\"\n",
                "\n",
                "host = qry_prov.exec_query(query)\n",
                "host_name = host['Computer'].iloc[0]\n",
                "md(f\"Host to investigate: <b>{host_name}t</b>\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Investigate Host\n",
                "Now that we have identified our host we want to perform some standard analysis to get a summary of the host. Rather than code these steps individually each time we create a notebook that investigates hosts we have grouped together several MSTICpy features and investigation steps into a single function we call a notebooklet - by calling this notebooklet we can easily conduct analysis that would require hundreds of lines of code if coded directly in a notebook."
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Use a notebooklet"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Loaded providers: LogAnalytics, azuredata, geolitelookup, tilookup\n"
                    ]
                },
                {
                    "data": {
                        "text/html": [
                            "<h1>Host Entity Summary</h1>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "This shows a summary data for a host. It shows host properties obtained from OMS Heartbeat and Azure API.<br>It also lists Azure Sentinel alerts and bookmakrs related to to the host.<br>Data and plots are stored in the result class returned by this function."
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<h2>Host Entity details</h2>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "These are the host entity details gathered from Heartbeat and, if applicable, AzureNetworkAnalytics and Azure management API.<br>The data shows OS information, IP Addresses assigned the host and any Azure VM information available."
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "{ 'AdditionalData': {},\n",
                        "  'AzureDetails': { 'ResourceDetails': { 'Admin User': 'mstic_admin',\n",
                        "                                         'Azure Location': 'eastus',\n",
                        "                                         'Disks': [],\n",
                        "                                         'Image': 'Windows-10 rs5-pro',\n",
                        "                                         'Network Interfaces': [ '/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Microsoft.Network/networkInterfaces/blackhatdemohost86'],\n",
                        "                                         'Tags': \"{'Role': 'Demo'}\",\n",
                        "                                         'VM Size': 'Standard_B2s'},\n",
                        "                    'ResourceGroup': 'BlackHatDemo',\n",
                        "                    'ResourceId': '/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Microsoft.Compute/virtualMachines/BlackHatDemoHost',\n",
                        "                    'ResourceProvider': 'Microsoft.Compute',\n",
                        "                    'ResourceType': 'virtualMachines',\n",
                        "                    'Solutions': '\"security\", \"changeTracking\", \"networkMonitoring\", \"serviceMap\", '\n",
                        "                                 '\"securityCenterFree\", \"securityInsights\", \"windowsFirewall\", '\n",
                        "                                 '\"windowsEventForwarding\"',\n",
                        "                    'SubscriptionDetails': { 'Display Name': 'ASI Hunting Demo Environment',\n",
                        "                                             'Spending Limit': <SpendingLimit.off: 'Off'>,\n",
                        "                                             'State': 'SubscriptionState.enabled',\n",
                        "                                             'Subscription ID': '40dcc8bf-0478-4f3b-b275-ed0a94f2c013',\n",
                        "                                             'Subscription Location': 'Internal_2014-09-01',\n",
                        "                                             'Subscription Quota': 'Internal_2014-09-01'},\n",
                        "                    'SubscriptionId': '40dcc8bf-0478-4f3b-b275-ed0a94f2c013'},\n",
                        "  'Environment': 'Azure',\n",
                        "  'HostName': 'BlackHatDemoHos',\n",
                        "  'IPAddress': { 'AdditionalData': {},\n",
                        "                 'Address': '20.185.182.48',\n",
                        "                 'Location': { 'AdditionalData': {},\n",
                        "                               'CountryName': 'United States',\n",
                        "                               'Latitude': 38.71,\n",
                        "                               'Longitude': -78.16,\n",
                        "                               'Type': 'geolocation'},\n",
                        "                 'Type': 'ipaddress'},\n",
                        "  'OSName': '',\n",
                        "  'OSType': 'Windows',\n",
                        "  'OSVMajorVersion': '10',\n",
                        "  'OSVMinorVersion': '0',\n",
                        "  'OmsSolutions': [ '\"security\"',\n",
                        "                    '\"changeTracking\"',\n",
                        "                    '\"networkMonitoring\"',\n",
                        "                    '\"serviceMap\"',\n",
                        "                    '\"securityCenterFree\"',\n",
                        "                    '\"securityInsights\"',\n",
                        "                    '\"windowsFirewall\"',\n",
                        "                    '\"windowsEventForwarding\"'],\n",
                        "  'SourceComputerId': '73a015ec-e2b6-4bf7-b353-ebeafb54254e',\n",
                        "  'Type': 'host',\n",
                        "  'VMUUID': '3f2b6a14-4c02-41aa-a2e8-6859ee4c7847',\n",
                        "  'private_ips': [],\n",
                        "  'public_ips': []}\n"
                    ]
                },
                {
                    "data": {
                        "text/html": [
                            "<h2>Timeline of related alerts</h2>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "Each marker on the timeline indicates one or more alerts related to the host."
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "\n",
                            "    <div class=\"bk-root\">\n",
                            "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
                            "        <span id=\"1721\">Loading BokehJS ...</span>\n",
                            "    </div>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/javascript": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  var JS_MIME_TYPE = 'application/javascript';\n  var HTML_MIME_TYPE = 'text/html';\n  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n  var CLASS_NAME = 'output_bokeh rendered_html';\n\n  /**\n   * Render data to the DOM node\n   */\n  function render(props, node) {\n    var script = document.createElement(\"script\");\n    node.appendChild(script);\n  }\n\n  /**\n   * Handle when an output is cleared or removed\n   */\n  function handleClearOutput(event, handle) {\n    var cell = handle.cell;\n\n    var id = cell.output_area._bokeh_element_id;\n    var server_id = cell.output_area._bokeh_server_id;\n    // Clean up Bokeh references\n    if (id != null && id in Bokeh.index) {\n      Bokeh.index[id].model.document.clear();\n      delete Bokeh.index[id];\n    }\n\n    if (server_id !== undefined) {\n      // Clean up Bokeh references\n      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n      cell.notebook.kernel.execute(cmd, {\n        iopub: {\n          output: function(msg) {\n            var id = msg.content.text.trim();\n            if (id in Bokeh.index) {\n              Bokeh.index[id].model.document.clear();\n              delete Bokeh.index[id];\n            }\n          }\n        }\n      });\n      // Destroy server and session\n      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n      cell.notebook.kernel.execute(cmd);\n    }\n  }\n\n  /**\n   * Handle when a new output is added\n   */\n  function handleAddOutput(event, handle) {\n    var output_area = handle.output_area;\n    var output = handle.output;\n\n    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n      return\n    }\n\n    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n      // store reference to embed id on output_area\n      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n    }\n    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n      var bk_div = document.createElement(\"div\");\n      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n      var script_attrs = bk_div.children[0].attributes;\n      for (var i = 0; i < script_attrs.length; i++) {\n        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n      }\n      // store reference to server id on output_area\n      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n    }\n  }\n\n  function register_renderer(events, OutputArea) {\n\n    function append_mime(data, metadata, element) {\n      // create a DOM node to render to\n      var toinsert = this.create_output_subarea(\n        metadata,\n        CLASS_NAME,\n        EXEC_MIME_TYPE\n      );\n      this.keyboard_manager.register_events(toinsert);\n      // Render to node\n      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n      render(props, toinsert[toinsert.length - 1]);\n      element.append(toinsert);\n      return toinsert\n    }\n\n    /* Handle when an output is cleared or removed */\n    events.on('clear_output.CodeCell', handleClearOutput);\n    events.on('delete.Cell', handleClearOutput);\n\n    /* Handle when a new output is added */\n    events.on('output_added.OutputArea', handleAddOutput);\n\n    /**\n     * Register the mime type and append_mime function with output_area\n     */\n    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n      /* Is output safe? */\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. 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                        "application/vnd.bokehjs_exec.v0+json": ""
                    },
                    "metadata": {
                        "application/vnd.bokehjs_exec.v0+json": {
                            "id": "1792"
                        }
                    },
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Initalize our notebooklets\n",
                "import msticnb as nb\n",
                "from msticnb.common import TimeSpan\n",
                "nb.init()\n",
                "tspan = TimeSpan(start=start, end=end)\n",
                "# Select our notebooklet\n",
                "nblet = nb.nblts.azsent.host.HostSummary()\n",
                "# Run our notebooklet\n",
                "out = nblet.run(value=host_name, timespan=tspan)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Azure Data\n",
                "As well as providing query providers to get data from SIEM solutions such as Azure Sentinel, MSTICpy also has the capability to acquire data from other sources such as the Azure APIs. Below we use [these features](https://msticpy.readthedocs.io/en/latest/data_acquisition/AzureData.html) to collect information and metrics on our host.<br>\n",
                "We then use the MSTICpy interactive [timeline visualization](https://msticpy.readthedocs.io/en/latest/visualization/EventTimeline.html) in order to display this data."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>resource_id</th>\n",
                            "      <th>name</th>\n",
                            "      <th>resource_type</th>\n",
                            "      <th>location</th>\n",
                            "      <th>tags</th>\n",
                            "      <th>plan</th>\n",
                            "      <th>properties</th>\n",
                            "      <th>kind</th>\n",
                            "      <th>managed_by</th>\n",
                            "      <th>sku</th>\n",
                            "      <th>identity</th>\n",
                            "      <th>state</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>295</th>\n",
                            "      <td>/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Micros...</td>\n",
                            "      <td>BlackHatDemoHost</td>\n",
                            "      <td>Microsoft.Compute/virtualMachines</td>\n",
                            "      <td>eastus</td>\n",
                            "      <td>{'Role': 'Demo'}</td>\n",
                            "      <td>None</td>\n",
                            "      <td>None</td>\n",
                            "      <td>None</td>\n",
                            "      <td>None</td>\n",
                            "      <td>None</td>\n",
                            "      <td>None</td>\n",
                            "      <td>None</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                                                                                             resource_id  \\\n",
                            "295  /subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Micros...   \n",
                            "\n",
                            "                 name                      resource_type location  \\\n",
                            "295  BlackHatDemoHost  Microsoft.Compute/virtualMachines   eastus   \n",
                            "\n",
                            "                 tags  plan properties  kind managed_by   sku identity state  \n",
                            "295  {'Role': 'Demo'}  None       None  None       None  None     None  None  "
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "from msticpy.data.azure_data import AzureData\n",
                "# Initalize and connect to Azure\n",
                "az = AzureData()\n",
                "az.connect()\n",
                "# Get details on our subscription and virtal machines\n",
                "sub_id = az.get_subscriptions().iloc[0]['Subscription ID']\n",
                "resources = az.get_resources(sub_id)\n",
                "display(resources[resources['name'] == \"BlackHatDemoHost\"])\n",
                "res_id = resources[resources['name'] == \"BlackHatDemoHost\"].iloc[0]['resource_id']"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "{'resource_id': '/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Microsoft.Compute/virtualMachines/BlackHatDemoHost',\n",
                            " 'name': 'BlackHatDemoHost',\n",
                            " 'resource_type': 'Microsoft.Compute/virtualMachines',\n",
                            " 'location': 'eastus',\n",
                            " 'tags': {'Role': 'Demo'},\n",
                            " 'plan': None,\n",
                            " 'properties': {'vmId': '3f2b6a14-4c02-41aa-a2e8-6859ee4c7847',\n",
                            "  'hardwareProfile': {'vmSize': 'Standard_B2s'},\n",
                            "  'storageProfile': {'imageReference': {'publisher': 'MicrosoftWindowsDesktop',\n",
                            "    'offer': 'Windows-10',\n",
                            "    'sku': 'rs5-pro',\n",
                            "    'version': 'latest',\n",
                            "    'exactVersion': '17763.1282.2006061952'},\n",
                            "   'osDisk': {'osType': 'Windows',\n",
                            "    'name': 'BlackHatDemoHost_OsDisk_1_dd1ef27d863e4e14ab3b446a4ab3ab20',\n",
                            "    'createOption': 'FromImage',\n",
                            "    'caching': 'ReadWrite',\n",
                            "    'managedDisk': {'id': '/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BLACKHATDEMO/providers/Microsoft.Compute/disks/BlackHatDemoHost_OsDisk_1_dd1ef27d863e4e14ab3b446a4ab3ab20'}},\n",
                            "   'dataDisks': []},\n",
                            "  'osProfile': {'computerName': 'BlackHatDemoHos',\n",
                            "   'adminUsername': 'mstic_admin',\n",
                            "   'windowsConfiguration': {'provisionVMAgent': True,\n",
                            "    'enableAutomaticUpdates': True,\n",
                            "    'patchSettings': {'patchMode': 'AutomaticByOS'}},\n",
                            "   'secrets': [],\n",
                            "   'allowExtensionOperations': True,\n",
                            "   'requireGuestProvisionSignal': True},\n",
                            "  'networkProfile': {'networkInterfaces': [{'id': '/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Microsoft.Network/networkInterfaces/blackhatdemohost86'}]},\n",
                            "  'licenseType': 'Windows_Client',\n",
                            "  'provisioningState': 'Succeeded'},\n",
                            " 'kind': None,\n",
                            " 'managed_by': None,\n",
                            " 'sku': None,\n",
                            " 'identity': None,\n",
                            " 'state': <azure.mgmt.compute.v2019_12_01.models._models_py3.VirtualMachineInstanceView at 0x1b6bcf7b1c0>}"
                        ]
                    },
                    "execution_count": 20,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# Get details on our target resource\n",
                "az.get_resource_details(resource_id=res_id, sub_id=sub_id)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 23,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "\n",
                            "    <div class=\"bk-root\">\n",
                            "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
                            "        <span id=\"2865\">Loading BokehJS ...</span>\n",
                            "    </div>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/javascript": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  var JS_MIME_TYPE = 'application/javascript';\n  var HTML_MIME_TYPE = 'text/html';\n  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n  var CLASS_NAME = 'output_bokeh rendered_html';\n\n  /**\n   * Render data to the DOM node\n   */\n  function render(props, node) {\n    var script = document.createElement(\"script\");\n    node.appendChild(script);\n  }\n\n  /**\n   * Handle when an output is cleared or removed\n   */\n  function handleClearOutput(event, handle) {\n    var cell = handle.cell;\n\n    var id = cell.output_area._bokeh_element_id;\n    var server_id = cell.output_area._bokeh_server_id;\n    // Clean up Bokeh references\n    if (id != null && id in Bokeh.index) {\n      Bokeh.index[id].model.document.clear();\n      delete Bokeh.index[id];\n    }\n\n    if (server_id !== undefined) {\n      // Clean up Bokeh references\n      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n      cell.notebook.kernel.execute(cmd, {\n        iopub: {\n          output: function(msg) {\n            var id = msg.content.text.trim();\n            if (id in Bokeh.index) {\n              Bokeh.index[id].model.document.clear();\n              delete Bokeh.index[id];\n            }\n          }\n        }\n      });\n      // Destroy server and session\n      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n      cell.notebook.kernel.execute(cmd);\n    }\n  }\n\n  /**\n   * Handle when a new output is added\n   */\n  function handleAddOutput(event, handle) {\n    var output_area = handle.output_area;\n    var output = handle.output;\n\n    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n      return\n    }\n\n    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n      // store reference to embed id on output_area\n      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n    }\n    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n      var bk_div = document.createElement(\"div\");\n      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n      var script_attrs = bk_div.children[0].attributes;\n      for (var i = 0; i < script_attrs.length; i++) {\n        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n      }\n      // store reference to server id on output_area\n      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n    }\n  }\n\n  function register_renderer(events, OutputArea) {\n\n    function append_mime(data, metadata, element) {\n      // create a DOM node to render to\n      var toinsert = this.create_output_subarea(\n        metadata,\n        CLASS_NAME,\n        EXEC_MIME_TYPE\n      );\n      this.keyboard_manager.register_events(toinsert);\n      // Render to node\n      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n      render(props, toinsert[toinsert.length - 1]);\n      element.append(toinsert);\n      return toinsert\n    }\n\n    /* Handle when an output is cleared or removed */\n    events.on('clear_output.CodeCell', handleClearOutput);\n    events.on('delete.Cell', handleClearOutput);\n\n    /* Handle when a new output is added */\n    events.on('output_added.OutputArea', handleAddOutput);\n\n    /**\n     * Register the mime type and append_mime function with output_area\n     */\n    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n      /* Is output safe? */\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"2865\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\": \"kLr4fYcqcSpbuI95brIH3vnnYCquzzSxHPU6XGQCIkQRGJwhg0StNbj1eegrHs12\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\": \"xIGPmVtaOm+z0BqfSOMn4lOR6ciex448GIKG4eE61LsAvmGj48XcMQZtKcE/UXZe\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\": \"Dc9u1wF/0zApGIWoBbH77iWEHtdmkuYWG839Uzmv8y8yBLXebjO9ZnERsde5Ln/P\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\": \"cT9JaBz7GiRXdENrJLZNSC6eMNF3nh3fa5fTF51Svp+ukxPdwcU5kGXGPBgDCa2j\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"2865\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
                        "application/vnd.bokehjs_load.v0+json": ""
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "\n",
                            "\n",
                            "\n",
                            "\n",
                            "\n",
                            "\n",
                            "  <div class=\"bk-root\" id=\"0042f7fe-4baa-437e-956d-0c722aca308a\" data-root-id=\"2867\"></div>\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
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*/\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"3040\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; 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i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"3040\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
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style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">background&nbsp;=&nbsp;None,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">background_fill_alpha&nbsp;=&nbsp;1.0,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">background_fill_color&nbsp;=&nbsp;'#ffffff',</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">below&nbsp;=&nbsp;[DatetimeAxis(id='3053', ...)],</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">border_fill_alpha&nbsp;=&nbsp;1.0,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: 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style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">min_border_left&nbsp;=&nbsp;50,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">min_border_right&nbsp;=&nbsp;None,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">min_border_top&nbsp;=&nbsp;None,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">min_height&nbsp;=&nbsp;None,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">min_width&nbsp;=&nbsp;None,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">name&nbsp;=&nbsp;None,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: 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table-cell;\">reset_policy&nbsp;=&nbsp;'standard',</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">right&nbsp;=&nbsp;[],</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">sizing_mode&nbsp;=&nbsp;None,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;[],</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[],</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">title&nbsp;=&nbsp;Title(id='3043', ...),</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">title_location&nbsp;=&nbsp;'above',</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">toolbar&nbsp;=&nbsp;Toolbar(id='3067', ...),</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">toolbar_location&nbsp;=&nbsp;'above',</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">toolbar_sticky&nbsp;=&nbsp;True,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">visible&nbsp;=&nbsp;True,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">width&nbsp;=&nbsp;None,</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">width_policy&nbsp;=&nbsp;'auto',</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">x_range&nbsp;=&nbsp;Range1d(id='3045', ...),</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">x_scale&nbsp;=&nbsp;LinearScale(id='3049', ...),</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">y_range&nbsp;=&nbsp;DataRange1d(id='3047', ...),</div></div><div class=\"3278\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">y_scale&nbsp;=&nbsp;LinearScale(id='3051', ...))</div></div></div>\n",
                            "<script>\n",
                            "(function() {\n",
                            "  var expanded = false;\n",
                            "  var ellipsis = document.getElementById(\"3279\");\n",
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                            "    ellipsis.innerHTML = expanded ? \"&hellip;)\" : \"&lsaquo;&lsaquo;&lsaquo;\";\n",
                            "    expanded = !expanded;\n",
                            "  });\n",
                            "})();\n",
                            "</script>\n"
                        ],
                        "text/plain": [
                            "Figure(id='3042', ...)"
                        ]
                    },
                    "execution_count": 23,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# Get metrics from the Azure virtual machine.\n",
                "mets = az.get_metrics(metrics=\"Percentage CPU,Disk Read Bytes,Disk Write Bytes\", resource_id=res_id, sub_id=sub_id, sample_time=\"hour\", start_time=10)\n",
                "\n",
                "disk_read_data = mets['Disk Read Bytes']\n",
                "disk_read_data['Type'] = 'Disk Read'\n",
                "disk_write_data = mets['Disk Write Bytes']\n",
                "disk_write_data['Type'] = \"Disk Write\"\n",
                "disk_data = pd.concat([disk_read_data, disk_write_data])\n",
                "\n",
                "# Visualize those metrics\n",
                "nbdisplay.display_timeline_values(data=mets['Percentage CPU'], title=\"Host CPU Usage\", time_column = 'Time', y='Data', height=400, source_columns=['Time', 'Data'], kind='line', range_tool=False)\n",
                "nbdisplay.display_timeline_values(data=disk_data, title=\"Host Disk Usage\", time_column = 'Time', y='Data', height=400, source_columns=['Time', 'Data'], kind='line', group_by='Type', range_tool=False)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Host Alerts\n",
                "One thing we want to investigate in more detail is any security alerts associated with the host. Security Alerts contain complex, detailed data that is hard to read in a regular Pandas DataFrame. To make it easier, MSTICpy provides an interactive widget to allow you to pick alerts from a list and see the details in an expanded output format.\n",
                "\n",
                "\n",
                "> Note: Previously we were getting data from a query provider we provided the query as a string. Part of the MSTICpy dataprovider functionality is to be able to create and store parameterized queries (in YAML files). MSTICpy comes with a set of [pre-built queries](https://msticpy.readthedocs.io/en/latest/data_acquisition/DataQueries.html) for many common scenarios. Below we use one fo these to get a list of alerts related to the host we are investigating.\n",
                "\n"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 24,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "application/javascript": "try {IPython.notebook.kernel.execute(\"NOTEBOOK_URL = '\" + window.location + \"'\");} catch(err) {;}",
                        "text/plain": [
                            "<IPython.core.display.Javascript object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>TenantId</th>\n",
                            "      <th>TimeGenerated</th>\n",
                            "      <th>AlertDisplayName</th>\n",
                            "      <th>AlertName</th>\n",
                            "      <th>Severity</th>\n",
                            "      <th>Description</th>\n",
                            "      <th>ProviderName</th>\n",
                            "      <th>VendorName</th>\n",
                            "      <th>VendorOriginalId</th>\n",
                            "      <th>SystemAlertId</th>\n",
                            "      <th>ResourceId</th>\n",
                            "      <th>SourceComputerId</th>\n",
                            "      <th>AlertType</th>\n",
                            "      <th>ConfidenceLevel</th>\n",
                            "      <th>ConfidenceScore</th>\n",
                            "      <th>IsIncident</th>\n",
                            "      <th>StartTimeUtc</th>\n",
                            "      <th>EndTimeUtc</th>\n",
                            "      <th>ProcessingEndTime</th>\n",
                            "      <th>RemediationSteps</th>\n",
                            "      <th>ExtendedProperties</th>\n",
                            "      <th>Entities</th>\n",
                            "      <th>SourceSystem</th>\n",
                            "      <th>WorkspaceSubscriptionId</th>\n",
                            "      <th>WorkspaceResourceGroup</th>\n",
                            "      <th>ExtendedLinks</th>\n",
                            "      <th>ProductName</th>\n",
                            "      <th>ProductComponentName</th>\n",
                            "      <th>AlertLink</th>\n",
                            "      <th>Type</th>\n",
                            "      <th>Computer</th>\n",
                            "      <th>src_hostname</th>\n",
                            "      <th>src_accountname</th>\n",
                            "      <th>src_procname</th>\n",
                            "      <th>host_match</th>\n",
                            "      <th>acct_match</th>\n",
                            "      <th>proc_match</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>52b1ab41-869e-4138-9e40-2a4457f09bf0</td>\n",
                            "      <td>2020-07-10 19:09:23+00:00</td>\n",
                            "      <td>Suspicious Activity Detected</td>\n",
                            "      <td>Suspicious Activity Detected</td>\n",
                            "      <td>Medium</td>\n",
                            "      <td>Analysis of host data has detected a sequence of one or more processes running on BlackHatDemoHo...</td>\n",
                            "      <td>Detection-WarmPathV2</td>\n",
                            "      <td>Microsoft</td>\n",
                            "      <td>e3549ae5-3e95-4be7-8ba8-9e1b9d97e926</td>\n",
                            "      <td>2518078950729219999_e3549ae5-3e95-4be7-8ba8-9e1b9d97e926</td>\n",
                            "      <td>/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Micros...</td>\n",
                            "      <td>73a015ec-e2b6-4bf7-b353-ebeafb54254e</td>\n",
                            "      <td>VM_SuspiciousActivity</td>\n",
                            "      <td>Unknown</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>False</td>\n",
                            "      <td>2020-07-10 18:28:47+00:00</td>\n",
                            "      <td>2020-07-10 18:37:39+00:00</td>\n",
                            "      <td>2020-07-10 19:09:54+00:00</td>\n",
                            "      <td>[\\r\\n  \"Review each of the individual line items in this alert to see if you recognize them as l...</td>\n",
                            "      <td>{\\r\\n  \"Machine Name\": \"BlackHatDemoHos\",\\r\\n  \"Command List\": \"FTP session was established.\\nNe...</td>\n",
                            "      <td>[\\r\\n  {\\r\\n    \"$id\": \"4\",\\r\\n    \"HostName\": \"BlackHatDemoHos\",\\r\\n    \"AzureID\": \"/subscripti...</td>\n",
                            "      <td>Detection</td>\n",
                            "      <td>40dcc8bf-0478-4f3b-b275-ed0a94f2c013</td>\n",
                            "      <td>asihuntomsworkspacerg</td>\n",
                            "      <td></td>\n",
                            "      <td>Azure Security Center</td>\n",
                            "      <td></td>\n",
                            "      <td>https://portal.azure.com/#blade/Microsoft_Azure_Security/AlertBlade/alertId/2518078950729219999_...</td>\n",
                            "      <td>SecurityAlert</td>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>True</td>\n",
                            "      <td>False</td>\n",
                            "      <td>False</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>52b1ab41-869e-4138-9e40-2a4457f09bf0</td>\n",
                            "      <td>2020-07-10 19:09:23+00:00</td>\n",
                            "      <td>Suspicious Activity Detected</td>\n",
                            "      <td>Suspicious Activity Detected</td>\n",
                            "      <td>Medium</td>\n",
                            "      <td>Analysis of host data has detected a sequence of one or more processes running on BlackHatDemoHo...</td>\n",
                            "      <td>Detection-WarmPathV2</td>\n",
                            "      <td>Microsoft</td>\n",
                            "      <td>e3549ae5-3e95-4be7-8ba8-9e1b9d97e926</td>\n",
                            "      <td>95ba8569-5df3-351e-b082-ce9666943e0b</td>\n",
                            "      <td>/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Micros...</td>\n",
                            "      <td>73a015ec-e2b6-4bf7-b353-ebeafb54254e</td>\n",
                            "      <td>VM_SuspiciousActivity</td>\n",
                            "      <td>Unknown</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>False</td>\n",
                            "      <td>2020-07-10 18:28:47+00:00</td>\n",
                            "      <td>2020-07-10 18:37:39+00:00</td>\n",
                            "      <td>2020-07-10 19:09:54+00:00</td>\n",
                            "      <td>[\\r\\n  \"Review each of the individual line items in this alert to see if you recognize them as l...</td>\n",
                            "      <td>{\\r\\n  \"Machine Name\": \"BlackHatDemoHos\",\\r\\n  \"Command List\": \"FTP session was established.\\nNe...</td>\n",
                            "      <td>[\\r\\n  {\\r\\n    \"$id\": \"4\",\\r\\n    \"HostName\": \"BlackHatDemoHos\",\\r\\n    \"AzureID\": \"/subscripti...</td>\n",
                            "      <td>Detection</td>\n",
                            "      <td>40dcc8bf-0478-4f3b-b275-ed0a94f2c013</td>\n",
                            "      <td>asihuntomsworkspacerg</td>\n",
                            "      <td></td>\n",
                            "      <td>Azure Security Center</td>\n",
                            "      <td></td>\n",
                            "      <td>https://portal.azure.com/#blade/Microsoft_Azure_Security/AlertBlade/alertId/2518078950729219999_...</td>\n",
                            "      <td>SecurityAlert</td>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>True</td>\n",
                            "      <td>False</td>\n",
                            "      <td>False</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>52b1ab41-869e-4138-9e40-2a4457f09bf0</td>\n",
                            "      <td>2020-07-10 18:41:18+00:00</td>\n",
                            "      <td>RDP Brute Force</td>\n",
                            "      <td>RDP Brute Force</td>\n",
                            "      <td>Medium</td>\n",
                            "      <td></td>\n",
                            "      <td>ASI Scheduled Alerts</td>\n",
                            "      <td>Microsoft</td>\n",
                            "      <td>52c2edec-dc25-445e-b81a-b54bf44570a3</td>\n",
                            "      <td>cf949989-cf21-7ae1-5c02-56122b111f43</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>52b1ab41-869e-4138-9e40-2a4457f09bf0_765132a3-cf2f-40cf-b45c-cd6be9b942b7</td>\n",
                            "      <td>Unknown</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>False</td>\n",
                            "      <td>2020-07-10 18:27:28+00:00</td>\n",
                            "      <td>2020-07-10 18:27:39+00:00</td>\n",
                            "      <td>2020-07-10 18:41:18+00:00</td>\n",
                            "      <td></td>\n",
                            "      <td>{\\r\\n  \"Query\": \"let bruteforce_hosts = (\\r\\nSecurityEvent\\r\\n| where Computer contains \\\"blackh...</td>\n",
                            "      <td>[\\r\\n  {\\r\\n    \"$id\": \"3\",\\r\\n    \"Address\": \"174.127.235.80\",\\r\\n    \"Type\": \"ip\"\\r\\n  },\\r\\n ...</td>\n",
                            "      <td>Detection</td>\n",
                            "      <td>40dcc8bf-0478-4f3b-b275-ed0a94f2c013</td>\n",
                            "      <td>asihuntomsworkspacerg</td>\n",
                            "      <td></td>\n",
                            "      <td>Azure Sentinel</td>\n",
                            "      <td>Scheduled Alerts</td>\n",
                            "      <td></td>\n",
                            "      <td>SecurityAlert</td>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>True</td>\n",
                            "      <td>False</td>\n",
                            "      <td>False</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                               TenantId             TimeGenerated  \\\n",
                            "0  52b1ab41-869e-4138-9e40-2a4457f09bf0 2020-07-10 19:09:23+00:00   \n",
                            "1  52b1ab41-869e-4138-9e40-2a4457f09bf0 2020-07-10 19:09:23+00:00   \n",
                            "2  52b1ab41-869e-4138-9e40-2a4457f09bf0 2020-07-10 18:41:18+00:00   \n",
                            "\n",
                            "               AlertDisplayName                     AlertName Severity  \\\n",
                            "0  Suspicious Activity Detected  Suspicious Activity Detected   Medium   \n",
                            "1  Suspicious Activity Detected  Suspicious Activity Detected   Medium   \n",
                            "2               RDP Brute Force               RDP Brute Force   Medium   \n",
                            "\n",
                            "                                                                                           Description  \\\n",
                            "0  Analysis of host data has detected a sequence of one or more processes running on BlackHatDemoHo...   \n",
                            "1  Analysis of host data has detected a sequence of one or more processes running on BlackHatDemoHo...   \n",
                            "2                                                                                                        \n",
                            "\n",
                            "           ProviderName VendorName                      VendorOriginalId  \\\n",
                            "0  Detection-WarmPathV2  Microsoft  e3549ae5-3e95-4be7-8ba8-9e1b9d97e926   \n",
                            "1  Detection-WarmPathV2  Microsoft  e3549ae5-3e95-4be7-8ba8-9e1b9d97e926   \n",
                            "2  ASI Scheduled Alerts  Microsoft  52c2edec-dc25-445e-b81a-b54bf44570a3   \n",
                            "\n",
                            "                                              SystemAlertId  \\\n",
                            "0  2518078950729219999_e3549ae5-3e95-4be7-8ba8-9e1b9d97e926   \n",
                            "1                      95ba8569-5df3-351e-b082-ce9666943e0b   \n",
                            "2                      cf949989-cf21-7ae1-5c02-56122b111f43   \n",
                            "\n",
                            "                                                                                            ResourceId  \\\n",
                            "0  /subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Micros...   \n",
                            "1  /subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Micros...   \n",
                            "2                                                                                                        \n",
                            "\n",
                            "                       SourceComputerId  \\\n",
                            "0  73a015ec-e2b6-4bf7-b353-ebeafb54254e   \n",
                            "1  73a015ec-e2b6-4bf7-b353-ebeafb54254e   \n",
                            "2                                         \n",
                            "\n",
                            "                                                                   AlertType  \\\n",
                            "0                                                      VM_SuspiciousActivity   \n",
                            "1                                                      VM_SuspiciousActivity   \n",
                            "2  52b1ab41-869e-4138-9e40-2a4457f09bf0_765132a3-cf2f-40cf-b45c-cd6be9b942b7   \n",
                            "\n",
                            "  ConfidenceLevel  ConfidenceScore  IsIncident              StartTimeUtc  \\\n",
                            "0         Unknown              0.0       False 2020-07-10 18:28:47+00:00   \n",
                            "1         Unknown              0.0       False 2020-07-10 18:28:47+00:00   \n",
                            "2         Unknown              NaN       False 2020-07-10 18:27:28+00:00   \n",
                            "\n",
                            "                 EndTimeUtc         ProcessingEndTime  \\\n",
                            "0 2020-07-10 18:37:39+00:00 2020-07-10 19:09:54+00:00   \n",
                            "1 2020-07-10 18:37:39+00:00 2020-07-10 19:09:54+00:00   \n",
                            "2 2020-07-10 18:27:39+00:00 2020-07-10 18:41:18+00:00   \n",
                            "\n",
                            "                                                                                      RemediationSteps  \\\n",
                            "0  [\\r\\n  \"Review each of the individual line items in this alert to see if you recognize them as l...   \n",
                            "1  [\\r\\n  \"Review each of the individual line items in this alert to see if you recognize them as l...   \n",
                            "2                                                                                                        \n",
                            "\n",
                            "                                                                                    ExtendedProperties  \\\n",
                            "0  {\\r\\n  \"Machine Name\": \"BlackHatDemoHos\",\\r\\n  \"Command List\": \"FTP session was established.\\nNe...   \n",
                            "1  {\\r\\n  \"Machine Name\": \"BlackHatDemoHos\",\\r\\n  \"Command List\": \"FTP session was established.\\nNe...   \n",
                            "2  {\\r\\n  \"Query\": \"let bruteforce_hosts = (\\r\\nSecurityEvent\\r\\n| where Computer contains \\\"blackh...   \n",
                            "\n",
                            "                                                                                              Entities  \\\n",
                            "0  [\\r\\n  {\\r\\n    \"$id\": \"4\",\\r\\n    \"HostName\": \"BlackHatDemoHos\",\\r\\n    \"AzureID\": \"/subscripti...   \n",
                            "1  [\\r\\n  {\\r\\n    \"$id\": \"4\",\\r\\n    \"HostName\": \"BlackHatDemoHos\",\\r\\n    \"AzureID\": \"/subscripti...   \n",
                            "2  [\\r\\n  {\\r\\n    \"$id\": \"3\",\\r\\n    \"Address\": \"174.127.235.80\",\\r\\n    \"Type\": \"ip\"\\r\\n  },\\r\\n ...   \n",
                            "\n",
                            "  SourceSystem               WorkspaceSubscriptionId WorkspaceResourceGroup  \\\n",
                            "0    Detection  40dcc8bf-0478-4f3b-b275-ed0a94f2c013  asihuntomsworkspacerg   \n",
                            "1    Detection  40dcc8bf-0478-4f3b-b275-ed0a94f2c013  asihuntomsworkspacerg   \n",
                            "2    Detection  40dcc8bf-0478-4f3b-b275-ed0a94f2c013  asihuntomsworkspacerg   \n",
                            "\n",
                            "  ExtendedLinks            ProductName ProductComponentName  \\\n",
                            "0                Azure Security Center                        \n",
                            "1                Azure Security Center                        \n",
                            "2                       Azure Sentinel     Scheduled Alerts   \n",
                            "\n",
                            "                                                                                             AlertLink  \\\n",
                            "0  https://portal.azure.com/#blade/Microsoft_Azure_Security/AlertBlade/alertId/2518078950729219999_...   \n",
                            "1  https://portal.azure.com/#blade/Microsoft_Azure_Security/AlertBlade/alertId/2518078950729219999_...   \n",
                            "2                                                                                                        \n",
                            "\n",
                            "            Type         Computer     src_hostname src_accountname  \\\n",
                            "0  SecurityAlert  BlackHatDemoHos  BlackHatDemoHos                   \n",
                            "1  SecurityAlert  BlackHatDemoHos  BlackHatDemoHos                   \n",
                            "2  SecurityAlert  BlackHatDemoHos  BlackHatDemoHos                   \n",
                            "\n",
                            "  src_procname  host_match  acct_match  proc_match  \n",
                            "0                     True       False       False  \n",
                            "1                     True       False       False  \n",
                            "2                     True       False       False  "
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "related_alerts = qry_prov.SecurityAlert.list_related_alerts(start=start, end=end, host_name=host_name)\n",
                "display(related_alerts)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 25,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "e01cb17411334c0bb0d82523190dbb43",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "VBox(children=(Text(value='', description='Filter alerts by title:', style=DescriptionStyle(description_width=…"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<hr>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "\n",
                            "            <h3>Alert: 'Suspicious Activity Detected'</h3>\n",
                            "            <b>Alert_time:</b> 2020-07-10 18:28:47+00:00,\n",
                            "            <b>Compr_entity:</b> BlackHatDemoHos,\n",
                            "            <b>Alert_id:</b> 2518078950729219999_e3549ae5-3e95-4be7-8ba8-9e1b9d97e926\n",
                            "            <table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>0</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>TenantId</th>\n",
                            "      <td>52b1ab41-869e-4138-9e40-2a4457f09bf0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>TimeGenerated</th>\n",
                            "      <td>2020-07-10 19:09:23+00:00</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>AlertDisplayName</th>\n",
                            "      <td>Suspicious Activity Detected</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>AlertName</th>\n",
                            "      <td>Suspicious Activity Detected</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Severity</th>\n",
                            "      <td>Medium</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Description</th>\n",
                            "      <td>Analysis of host data has detected a sequence of one or more processes running on BlackHatDemoHos that have historically been associated with malicious activity. While individual commands may appear benign the alert is scored based on an aggregation of these commands. This could either be legitimate activity, or an indication of a compromised host.</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ProviderName</th>\n",
                            "      <td>Detection-WarmPathV2</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>VendorName</th>\n",
                            "      <td>Microsoft</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>VendorOriginalId</th>\n",
                            "      <td>e3549ae5-3e95-4be7-8ba8-9e1b9d97e926</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>SystemAlertId</th>\n",
                            "      <td>2518078950729219999_e3549ae5-3e95-4be7-8ba8-9e1b9d97e926</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ResourceId</th>\n",
                            "      <td>/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Microsoft.Compute/virtualMachines/BlackHatDemoHost</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>SourceComputerId</th>\n",
                            "      <td>73a015ec-e2b6-4bf7-b353-ebeafb54254e</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>AlertType</th>\n",
                            "      <td>VM_SuspiciousActivity</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ConfidenceLevel</th>\n",
                            "      <td>Unknown</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ConfidenceScore</th>\n",
                            "      <td>0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>IsIncident</th>\n",
                            "      <td>False</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>StartTimeUtc</th>\n",
                            "      <td>2020-07-10 18:28:47+00:00</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>EndTimeUtc</th>\n",
                            "      <td>2020-07-10 18:37:39+00:00</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ProcessingEndTime</th>\n",
                            "      <td>2020-07-10 19:09:54+00:00</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>RemediationSteps</th>\n",
                            "      <td>[\\r\\n  \"Review each of the individual line items in this alert to see if you recognize them as legitimate administrative activity.\"\\r\\n]</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ExtendedProperties</th>\n",
                            "      <td>{'Machine Name': 'BlackHatDemoHos', 'Command List': 'FTP session was established.\n",
                            "New user was created.\n",
                            "PING command was executed.\n",
                            "Administrators group members enumeration.\n",
                            "New user was added to the Administrators group.\n",
                            "New scheduled task was created.', 'Account List': 'BLACKHATDEMOHOS\\timvic', 'compromised host': 'BlackHatDemoHos', 'resourceType': 'Virtual Machine', 'ServiceId': '14fa08c7-c48e-4c18-950c-8148024b4398', 'ReportingSystem': 'Azure'}</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Entities</th>\n",
                            "      <td>[{'$id': '4', 'HostName': 'BlackHatDemoHos', 'AzureID': '/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Microsoft.Compute/virtualMachines/BlackHatDemoHost', 'OMSAgentID': '73a015ec-e2b6-4bf7-b353-ebeafb54254e', 'Type': 'host'}, {'$id': '5', 'Name': 'timvic', 'NTDomain': 'BLACKHATDEMOHOS', 'Host': {'$ref': '4'}, 'IsDomainJoined': True, 'Type': 'account'}]</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>SourceSystem</th>\n",
                            "      <td>Detection</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>WorkspaceSubscriptionId</th>\n",
                            "      <td>40dcc8bf-0478-4f3b-b275-ed0a94f2c013</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>WorkspaceResourceGroup</th>\n",
                            "      <td>asihuntomsworkspacerg</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ExtendedLinks</th>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ProductName</th>\n",
                            "      <td>Azure Security Center</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ProductComponentName</th>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>AlertLink</th>\n",
                            "      <td>https://portal.azure.com/#blade/Microsoft_Azure_Security/AlertBlade/alertId/2518078950729219999_e3549ae5-3e95-4be7-8ba8-9e1b9d97e926/subscriptionId/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroup/BlackHatDemo/referencedFrom/alertDeepLink/location/centralus</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Type</th>\n",
                            "      <td>SecurityAlert</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Computer</th>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>src_hostname</th>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>src_accountname</th>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>src_procname</th>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>host_match</th>\n",
                            "      <td>True</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>acct_match</th>\n",
                            "      <td>False</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>proc_match</th>\n",
                            "      <td>False</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>CompromisedEntity</th>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table><br/><h3>ExtendedProperties:</h3><table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>0</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>Machine Name</th>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Command List</th>\n",
                            "      <td>FTP session was established.\\nNew user was created.\\nPING command was executed.\\nAdministrators group members enumeration.\\nNew user was added to the Administrators group.\\nNew scheduled task was created.</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Account List</th>\n",
                            "      <td>BLACKHATDEMOHOS\\timvic</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>compromised host</th>\n",
                            "      <td>BlackHatDemoHos</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>resourceType</th>\n",
                            "      <td>Virtual Machine</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ServiceId</th>\n",
                            "      <td>14fa08c7-c48e-4c18-950c-8148024b4398</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>ReportingSystem</th>\n",
                            "      <td>Azure</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table><br/><h3>Entities:</h3><br/>{ &#x27;AdditionalData&#x27;: {},,   &#x27;AzureID&#x27;: &#x27;/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Microsoft.Compute/virtualMachines/BlackHatDemoHost&#x27;,,   &#x27;HostName&#x27;: &#x27;BlackHatDemoHos&#x27;,,   &#x27;OMSAgentID&#x27;: &#x27;73a015ec-e2b6-4bf7-b353-ebeafb54254e&#x27;,,   &#x27;Type&#x27;: &#x27;host&#x27;}<br/>{ &#x27;AdditionalData&#x27;: {},,   &#x27;Host&#x27;: { &#x27;AdditionalData&#x27;: {},,             &#x27;AzureID&#x27;: &#x27;/subscriptions/40dcc8bf-0478-4f3b-b275-ed0a94f2c013/resourceGroups/BlackHatDemo/providers/Microsoft.Compute/virtualMachines/BlackHatDemoHost&#x27;,,             &#x27;HostName&#x27;: &#x27;BlackHatDemoHos&#x27;,,             &#x27;OMSAgentID&#x27;: &#x27;73a015ec-e2b6-4bf7-b353-ebeafb54254e&#x27;,,             &#x27;Type&#x27;: &#x27;host&#x27;},,   &#x27;IsDomainJoined&#x27;: True,,   &#x27;NTDomain&#x27;: &#x27;BLACKHATDEMOHOS&#x27;,,   &#x27;Name&#x27;: &#x27;timvic&#x27;,,   &#x27;Type&#x27;: &#x27;account&#x27;}"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "related_alerts['CompromisedEntity'] = related_alerts['Computer']\n",
                "def disp_full_alert(alert):\n",
                "    global related_alert\n",
                "    related_alert = SecurityAlert(alert)\n",
                "    return nbdisplay.format_alert(related_alert, show_entities=True)\n",
                "\n",
                "rel_alert_select = nbwidgets.SelectAlert(alerts=related_alerts, action=disp_full_alert)\n",
                "rel_alert_select.display()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Draw graph of alerts\n",
                "Graphs provide a great way to understand the relationship between items. As alerts are often associated with multiple different entities being able to view a graph of alerts and their entities helps analysts identify important connections. MSTICpy provide a [feature](https://msticpy.readthedocs.io/en/latest/msticpy.data.html?highlight=create_alert_graph#msticpy.nbtools.security_alert_graph.create_alert_graph) for graphing and plotting alert information."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1080x1080 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "alert = SecurityAlert(rel_alert_select.selected_alert)\n",
                "grph = create_alert_graph(alert)\n",
                "full_grph = add_related_alerts(related_alerts, grph)\n",
                "draw_alert_entity_graph(full_grph, width=15)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Logon Sessions\n",
                "Logon events are key to understanding any host based activity. We have previously used MSTICpy's [timeline feature](https://msticpy.readthedocs.io/en/latest/visualization/EventTimeline.html) to display value based data such as our Azure virtual machine metrics, as well as discrete data such as alerts, however we can also use it to display multiple types of discrete data on the same timeline. This is particularly useful for Windows logon events where we plot different logon types (interactive, network, etc.) in different horizontal series."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 27,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "application/javascript": "try {IPython.notebook.kernel.execute(\"NOTEBOOK_URL = '\" + window.location + \"'\");} catch(err) {;}",
                        "text/plain": [
                            "<IPython.core.display.Javascript object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "\n",
                            "    <div class=\"bk-root\">\n",
                            "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
                            "        <span id=\"3281\">Loading BokehJS ...</span>\n",
                            "    </div>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
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If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"3281\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; 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i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; 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%H:%M\"],\"hours\":[\"%H:%M:%S\"],\"milliseconds\":[\"%H:%M:%S.%3N\"],\"minutes\":[\"%H:%M:%S\"],\"seconds\":[\"%H:%M:%S\"]},\"id\":\"3337\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#440154\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#440154\"},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"field\":\"TimeGenerated\"},\"y\":{\"field\":\"y_index\"}},\"id\":\"3373\",\"type\":\"Diamond\"},{\"attributes\":{\"label\":{\"value\":\"5\"},\"renderers\":[{\"id\":\"3389\"}]},\"id\":\"3400\",\"type\":\"LegendItem\"},{\"attributes\":{\"background_fill_alpha\":0.5,\"background_fill_color\":\"white\",\"border_line_color\":\"red\",\"render_mode\":\"css\",\"text\":\"< Alert time\",\"text_font_size\":\"8pt\",\"x\":1594405727000.0,\"y\":0,\"y_offset\":10},\"id\":\"3407\",\"type\":\"Label\"},{\"attributes\":{\"label\":{\"value\":\"10\"},\"renderers\":[{\"id\":\"3394\"}]},\"id\":\"3401\",\"type\":\"LegendItem\"},{\"attributes\":{\"data_source\":{\"id\":\"3402\"},\"glyph\":{\"id\":\"3403\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3404\"},\"selection_glyph\":null,\"view\":{\"id\":\"3406\"}},\"id\":\"3405\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"3295\",\"type\":\"LinearScale\"},{\"attributes\":{\"line_color\":\"red\",\"line_dash\":[6],\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3403\",\"type\":\"Line\"},{\"attributes\":{\"end\":1594415865987.0,\"start\":1594404370863.0},\"id\":\"3291\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"3416\",\"type\":\"Selection\"},{\"attributes\":{\"end\":1594416344950.5,\"start\":1594403891899.5},\"id\":\"3323\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"3417\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"3287\"},{\"id\":\"3307\"},{\"id\":\"3308\"},{\"id\":\"3309\"},{\"id\":\"3310\"},{\"id\":\"3311\"}]},\"id\":\"3313\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"3282\"},\"glyph\":{\"id\":\"3372\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3373\"},\"selection_glyph\":null,\"view\":{\"id\":\"3375\"}},\"id\":\"3374\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"Tooltip\":\"printf\"},\"tooltips\":[[\"LogonType\",\"@LogonType\"],[\"Account\",\"@Account\"],[\"TimeGenerated\",\"@TimeGenerated\"]]},\"id\":\"3287\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"3325\",\"type\":\"DataRange1d\"}],\"root_ids\":[\"3408\"]},\"title\":\"Bokeh 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                        ],
                        "text/plain": [
                            "Column(id='3408', ...)"
                        ]
                    },
                    "execution_count": 27,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# Acquire data using a built in query\n",
                "host_logons = qry_prov.WindowsSecurity.list_host_logons(start=start,end=end, host_name=host_name)\n",
                "\n",
                "# Display timeline\n",
                "tooltip_cols = [\"TimeGenerated\", \"Account\", \"LogonType\", 'TimeGenerated']\n",
                "nbdisplay.display_timeline(data=host_logons, alert=rel_alert_select.selected_alert, title=\"Host Logons\", source_columns = tooltip_cols, group_by = \"LogonType\", height=200)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "When presented with a large number of events such as we have here its useful to cluster these into a more managable number of groups. MSTICpy contains [clustering features](https://msticpy.readthedocs.io/en/latest/msticpy.sectools.html?highlight=cluster_events#msticpy.sectools.eventcluster.dbcluster_events) that can be used against a number of data types. Once clustering is complete we use another [widget](https://msticpy.readthedocs.io/en/latest/msticpy.nbtools.html?highlight=SelectItem#msticpy.nbwidgets.SelectItem) to let the user select the cluster they want to focus on."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 28,
            "metadata": {},
            "outputs": [
                {
                    "data": {
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                        },
                        "text/plain": [
                            "VBox(children=(Text(value='', description='Filter:', style=DescriptionStyle(description_width='initial')), Sel…"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<hr>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "\n",
                            "        <style>\n",
                            "            .table_logon {border-collapse: collapse; width: 50%;}\n",
                            "            .cell_logon {border: 1px solid #ddd !important;\n",
                            "                text-align: left !important; padding: 15px !important;}\n",
                            "        </style>\n",
                            "        <table class='table_logon'><tr class='cell_logon'><td class='cell_logon'><b>Account: </b>timvic<br><b>Account Domain: </b>BlackHatDemoHos<br><b>Logon Time: </b>2020-07-10 18:27:49.790000+00:00<br><b>Logon type: </b>10(RemoteInteractive)<br><b>User Id/SID: </b>S-1-5-21-3334416894-4278249820-3875274378-1006<br>&nbsp;&nbsp;SID S-1-5-21-3334416894-4278249820-3875274378-1006 is local machine or domain account<br><br><b>Subject (source) account: </b>WORKGROUP/BlackHatDemoHos$<br><b>Logon process: </b>User32 <br><b>Authentication: </b>Negotiate<br><b>Source IpAddress: </b>174.127.235.80<br><b>Source Host: </b>BlackHatDemoHos<br><b>Logon status: </b><br></td></tr></table>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "from msticpy.sectools.eventcluster import dbcluster_events, add_process_features, _string_score\n",
                "\n",
                "logon_features = host_logons.copy()\n",
                "logon_features[\"AccountNum\"] = host_logons.apply(lambda x: _string_score(x.Account), axis=1)\n",
                "logon_features[\"TargetUserNum\"] = host_logons.apply(lambda x: _string_score(x.TargetUserName), axis=1)\n",
                "logon_features[\"LogonHour\"] = host_logons.apply(lambda x: x.TimeGenerated.hour, axis=1)\n",
                "\n",
                "# run clustering\n",
                "(clus_logons, _, _) = dbcluster_events(data=logon_features, time_column=\"TimeGenerated\", cluster_columns=[\"AccountNum\", \"LogonType\", \"TargetUserNum\"], max_cluster_distance=0.0001)\n",
                "\n",
                "dist_logons = clus_logons.sort_values(\"TimeGenerated\")[[\"TargetUserName\", \"TimeGenerated\", \"LastEventTime\", \"LogonType\", \"ClusterSize\"]]\n",
                "dist_logons = dist_logons.apply(lambda x: (\n",
                "        f\"{x.TargetUserName}:    \"\n",
                "        f\"(logontype {x.LogonType})   \"\n",
                "        f\"timerange: {x.TimeGenerated} - {x.LastEventTime}    \"\n",
                "        f\"count: {x.ClusterSize}\"\n",
                "    ),\n",
                "    axis=1,\n",
                ")\n",
                "dist_logons = {v: k for k, v in dist_logons.to_dict().items()}\n",
                "\n",
                "def show_logon(idx):\n",
                "    return nbdisplay.format_logon(pd.DataFrame(clus_logons.loc[idx]).T)\n",
                "\n",
                "logon_wgt = nbwidgets.SelectItem(description=\"Select logon cluster to examine\", item_dict=dist_logons, action=show_logon,height=\"200px\", width=\"100%\", auto_display=True)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 29,
            "metadata": {},
            "outputs": [],
            "source": [
                "# We can reset our timeframe based on the selected cluster.\n",
                "start = clus_logons.loc[logon_wgt.value]['FirstEventTime']\n",
                "end = clus_logons.loc[logon_wgt.value]['LastEventTime']"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Process Tree\n",
                "When investigating a host it is valuable to see the processes executed on the host, and the relationship between them. We can use the MSTICpy *ProcessTree* functionality to build and visualize [process trees](https://msticpy.readthedocs.io/en/latest/visualization/ProcessTree.html) from both Linux and Windows hosts.<br>\n",
                "\n",
                "> Due to the volume of data potentially involved when looking at process events, it's important to have a focused time frame to look at. We use the MSTICpy [widget for selecting a time range](https://msticpy.readthedocs.io/en/latest/visualization/NotebookWidgets.html?highlight=QueryTime#querytime)."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 30,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
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                        "text/plain": [
                            "HTML(value='<h4>Set query time boundaries</h4>')"
                        ]
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                        "text/plain": [
                            "HBox(children=(DatePicker(value=datetime.date(2020, 7, 10), description='Origin Date'), Text(value='18:27:49.7…"
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                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
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                        },
                        "text/plain": [
                            "VBox(children=(IntRangeSlider(value=(0, 3), description='Time Range (hour):', layout=Layout(width='80%'), max=…"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "timescope = nbwidgets.QueryTime(units=\"hours\", origin_time = start, max_before=12, max_after=24, before=0, after=3, auto_display=True)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 31,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "application/javascript": "try {IPython.notebook.kernel.execute(\"NOTEBOOK_URL = '\" + window.location + \"'\");} catch(err) {;}",
                        "text/plain": [
                            "<IPython.core.display.Javascript object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
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                        "text/plain": [
                            "HBox(children=(IntProgress(value=0, bar_style='info', description='Progress:'), Label(value='0%')))"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "{'Processes': 1164, 'RootProcesses': 14, 'LeafProcesses': 868, 'BranchProcesses': 282, 'IsolatedProcesses': 0, 'LargestTreeDepth': 6}\n"
                    ]
                },
                {
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                            "VBox(children=(Text(value='', description='Filter:', style=DescriptionStyle(description_width='initial')), Sel…"
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                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<hr>"
                        ],
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                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "proc_data = qry_prov.WindowsSecurity.list_host_processes(start=timescope.start,end=timescope.end, host_name=host_name)\n",
                "p_tree = ptree.build_process_tree(proc_data, show_progress=True)\n",
                "root_proc_sel = nbwidgets.SelectItem(\n",
                "    description=\"Select root process to investigate process tree\",\n",
                "    item_list=ptree.get_roots(p_tree)['NewProcessName'].to_list(),\n",
                "    height=\"200px\",\n",
                "    width=\"100%\",\n",
                "    auto_display=True)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 33,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "\n",
                            "    <div class=\"bk-root\">\n",
                            "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
                            "        <span id=\"4074\">Loading BokehJS ...</span>\n",
                            "    </div>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/javascript": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  var JS_MIME_TYPE = 'application/javascript';\n  var HTML_MIME_TYPE = 'text/html';\n  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n  var CLASS_NAME = 'output_bokeh rendered_html';\n\n  /**\n   * Render data to the DOM node\n   */\n  function render(props, node) {\n    var script = document.createElement(\"script\");\n    node.appendChild(script);\n  }\n\n  /**\n   * Handle when an output is cleared or removed\n   */\n  function handleClearOutput(event, handle) {\n    var cell = handle.cell;\n\n    var id = cell.output_area._bokeh_element_id;\n    var server_id = cell.output_area._bokeh_server_id;\n    // Clean up Bokeh references\n    if (id != null && id in Bokeh.index) {\n      Bokeh.index[id].model.document.clear();\n      delete Bokeh.index[id];\n    }\n\n    if (server_id !== undefined) {\n      // Clean up Bokeh references\n      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n      cell.notebook.kernel.execute(cmd, {\n        iopub: {\n          output: function(msg) {\n            var id = msg.content.text.trim();\n            if (id in Bokeh.index) {\n              Bokeh.index[id].model.document.clear();\n              delete Bokeh.index[id];\n            }\n          }\n        }\n      });\n      // Destroy server and session\n      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n      cell.notebook.kernel.execute(cmd);\n    }\n  }\n\n  /**\n   * Handle when a new output is added\n   */\n  function handleAddOutput(event, handle) {\n    var output_area = handle.output_area;\n    var output = handle.output;\n\n    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n      return\n    }\n\n    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n      // store reference to embed id on output_area\n      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n    }\n    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n      var bk_div = document.createElement(\"div\");\n      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n      var script_attrs = bk_div.children[0].attributes;\n      for (var i = 0; i < script_attrs.length; i++) {\n        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n      }\n      // store reference to server id on output_area\n      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n    }\n  }\n\n  function register_renderer(events, OutputArea) {\n\n    function append_mime(data, metadata, element) {\n      // create a DOM node to render to\n      var toinsert = this.create_output_subarea(\n        metadata,\n        CLASS_NAME,\n        EXEC_MIME_TYPE\n      );\n      this.keyboard_manager.register_events(toinsert);\n      // Render to node\n      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n      render(props, toinsert[toinsert.length - 1]);\n      element.append(toinsert);\n      return toinsert\n    }\n\n    /* Handle when an output is cleared or removed */\n    events.on('clear_output.CodeCell', handleClearOutput);\n    events.on('delete.Cell', handleClearOutput);\n\n    /* Handle when a new output is added */\n    events.on('output_added.OutputArea', handleAddOutput);\n\n    /**\n     * Register the mime type and append_mime function with output_area\n     */\n    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n      /* Is output safe? */\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"4074\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\": \"kLr4fYcqcSpbuI95brIH3vnnYCquzzSxHPU6XGQCIkQRGJwhg0StNbj1eegrHs12\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\": \"xIGPmVtaOm+z0BqfSOMn4lOR6ciex448GIKG4eE61LsAvmGj48XcMQZtKcE/UXZe\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\": \"Dc9u1wF/0zApGIWoBbH77iWEHtdmkuYWG839Uzmv8y8yBLXebjO9ZnERsde5Ln/P\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\": \"cT9JaBz7GiRXdENrJLZNSC6eMNF3nh3fa5fTF51Svp+ukxPdwcU5kGXGPBgDCa2j\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"4074\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
                        "application/vnd.bokehjs_load.v0+json": ""
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
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                            "\n",
                            "\n",
                            "\n",
                            "\n",
                            "\n",
                            "\n",
                            "  <div class=\"bk-root\" id=\"bdbb6432-a369-4a7f-9597-02fa889ccf63\" data-root-id=\"4204\"></div>\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/javascript": "(function(root) {\n  function embed_document(root) {\n    \n  var docs_json = {\"799438af-5e81-4052-a89f-44e91b100863\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"4189\"},{\"id\":\"4202\"}]},\"id\":\"4204\",\"type\":\"Column\"},{\"attributes\":{\"axis_line_color\":null,\"formatter\":{\"id\":\"4114\"},\"major_label_standoff\":0,\"major_tick_line_color\":\"navy\",\"ticker\":{\"id\":\"4143\"},\"visible\":false},\"id\":\"4088\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"4221\",\"type\":\"StringEditor\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"TimeGenerated\":\"datetime\"},\"renderers\":[{\"id\":\"4111\"}],\"tooltips\":[[\"Process\",\"@NewProcessName\"],[\"PID\",\"@PID\"],[\"CmdLine\",\"@CommandLine\"],[\"SubjUser\",\"@SubjectUserName\"],[\"SubjLgnId\",\"@SubjectLogonId\"],[\"TargLgnId\",\"@TargetLogonId\"],[\"Time\",\"@TimeGenerated{%F %T}\"]]},\"id\":\"4105\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"4223\",\"type\":\"StringEditor\"},{\"attributes\":{},\"id\":\"4224\",\"type\":\"StringFormatter\"},{\"attributes\":{},\"id\":\"4222\",\"type\":\"StringFormatter\"},{\"attributes\":{\"range\":{\"id\":\"4080\"},\"value\":1.75},\"id\":\"4107\",\"type\":\"Dodge\"},{\"attributes\":{},\"id\":\"4220\",\"type\":\"StringFormatter\"},{\"attributes\":{},\"id\":\"4219\",\"type\":\"StringEditor\"},{\"attributes\":{},\"id\":\"4084\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"4225\",\"type\":\"StringEditor\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"4096\"},{\"id\":\"4097\"},{\"id\":\"4098\"},{\"id\":\"4099\"},{\"id\":\"4105\"}]},\"id\":\"4100\",\"type\":\"Toolbar\"},{\"attributes\":{\"end\":54,\"start\":33},\"id\":\"4082\",\"type\":\"Range1d\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"4170\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"4167\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"4168\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"4086\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"4075\"},\"glyph\":{\"id\":\"4180\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"4181\"},\"selection_glyph\":null,\"view\":{\"id\":\"4183\"}},\"id\":\"4182\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"overlay\":{\"id\":\"4185\"},\"x_range\":null,\"y_range\":{\"id\":\"4082\"}},\"id\":\"4184\",\"type\":\"RangeTool\"},{\"attributes\":{\"text\":\"ProcessTree\"},\"id\":\"4078\",\"type\":\"Title\"},{\"attributes\":{\"source\":{\"id\":\"4075\"}},\"id\":\"4183\",\"type\":\"CDSView\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"SubjectUserName\",\"transform\":{\"id\":\"4076\"}},\"height\":{\"units\":\"data\",\"value\":0.8},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"width\":{\"units\":\"data\",\"value\":1.2},\"x\":{\"field\":\"Level\",\"transform\":{\"id\":\"4178\"}},\"y\":{\"field\":\"Row\"}},\"id\":\"4181\",\"type\":\"Rect\"},{\"attributes\":{\"data\":{\"Account\":[\"NaN\",\"WORKGROUP\\\\BlackHatDemoHos$\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"BlackHatDemoHos\\\\timvic\",\"WORKGROUP\\\\BlackHatDemoHos$\"],\"CommandLine\":[\"NaN\",\"C:\\\\windows\\\\system32\\\\userinit.exe\",\"C:\\\\windows\\\\Explorer.EXE\",\"\\\"C:\\\\Windows\\\\System32\\\\SecurityHealthSystray.exe\\\" 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secure-ssl-sec.com Wf9k44_sinc9d3[=$\",\"net  user secure-ssl-sec.com /active:yes\",\"C:\\\\windows\\\\system32\\\\net1  user secure-ssl-sec.com /active:yes\",\"cmd  /c echo QWxsIHlvdXIgc2VydmVycyBiZWxvbmcgdG8gZmF4aW5nLW1vbi5iZXN0IG5vdy4= \",\"reg  ADD \\\"HKLM\\\\SYSTEM\\\\CurrentControlSet\\\\Control\\\\Terminal Server\\\" /v fDenyTSConnections /t REG_DWORD /d 00000000 /f\\\"\",\"schtasks.exe  /create /tn  /tr \\\"c:\\\\pagefile.exe /?\\\" /sc hour /mo 1 /ru \\\"system\\\" /f\",\"ping  32.220.60.108 -n 100 \",\"net  localgroup administrators abai$ /delete\",\"C:\\\\windows\\\\system32\\\\net1  localgroup administrators abai$ /delete\",\"net  user abai$ /delete\",\"C:\\\\windows\\\\system32\\\\net1  user abai$ /delete\",\"net  user faxing-mon.best /delete\",\"C:\\\\windows\\\\system32\\\\net1  user faxing-mon.best /delete\",\"cmd  /c echo End Security Demo tasks\",\"\\\\??\\\\C:\\\\windows\\\\system32\\\\conhost.exe 0xffffffff -ForceV1\",\"cmd  /c echo Begin Security Demo 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\\System32\\\\cmd.exe\",\"C:\\\\Windows\\\\System32\\\\cmd.exe\",\"C:\\\\Windows\\\\System32\\\\net.exe\",\"C:\\\\Windows\\\\System32\\\\cmd.exe\",\"NaN\"],\"PID\":[\"PID: 0x60c (1548)\",\"PID: 0x1968 (6504)\",\"PID: 0x19a0 (6560)\",\"PID: 0x9fc (2556)\",\"PID: 0x1240 (4672)\",\"PID: 0x2414 (9236)\",\"PID: 0x2424 (9252)\",\"PID: 0x241c (9244)\",\"PID: 0x242c (9260)\",\"PID: 0x2440 (9280)\",\"PID: 0x244c (9292)\",\"PID: 0x246c (9324)\",\"PID: 0x2480 (9344)\",\"PID: 0x21ec (8684)\",\"PID: 0x2418 (9240)\",\"PID: 0x24d0 (9424)\",\"PID: 0x2490 (9360)\",\"PID: 0x24a0 (9376)\",\"PID: 0x2118 (8472)\",\"PID: 0x26d0 (9936)\",\"PID: 0x2420 (9248)\",\"PID: 0x2684 (9860)\",\"PID: 0x20ac (8364)\",\"PID: 0x227c (8828)\",\"PID: 0x2160 (8544)\",\"PID: 0xab0 (2736)\",\"PID: 0x1d94 (7572)\",\"PID: 0x2140 (8512)\",\"PID: 0x146c (5228)\",\"PID: 0x23ac (9132)\",\"PID: 0x230c (8972)\",\"PID: 0x438 (1080)\",\"PID: 0x1a38 (6712)\",\"PID: 0x2268 (8808)\",\"PID: 0x2524 (9508)\",\"PID: 0x2048 (8264)\",\"PID: 0x22c0 (8896)\",\"PID: 0x1dc8 (7624)\",\"PID: 0x93c (2364)\",\"PID: 0x1814 (6164)\",\"PID: 0x2488 (9352)\",\"PID: 0x1fb8 (8120)\",\"PID: 0x1214 (4628)\",\"PID: 0x1e44 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\"plot_height\":700,\"plot_width\":90,\"renderers\":[{\"id\":\"4182\"}],\"title\":{\"id\":\"4207\"},\"toolbar\":{\"id\":\"4171\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"4148\"},\"x_scale\":{\"id\":\"4152\"},\"y_range\":{\"id\":\"4150\"},\"y_scale\":{\"id\":\"4154\"}},\"id\":\"4147\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"text\":{\"field\":\"cmd\"},\"text_alpha\":{\"value\":0.1},\"text_baseline\":\"middle\",\"text_color\":{\"value\":\"black\"},\"text_font_size\":{\"value\":\"7pt\"},\"x\":{\"field\":\"Level\",\"transform\":{\"id\":\"4122\"}},\"y\":{\"field\":\"Row\",\"transform\":{\"id\":\"4123\"}}},\"id\":\"4126\",\"type\":\"Text\"},{\"attributes\":{},\"id\":\"4152\",\"type\":\"LinearScale\"},{\"attributes\":{\"source\":{\"id\":\"4075\"}},\"id\":\"4112\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"4075\"},\"glyph\":{\"id\":\"4109\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"4110\"},\"selection_glyph\":null,\"view\":{\"id\":\"4112\"}},\"id\":\"4111\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"4164\",\"type\":\"PanTool\"},{\"attributes\":{\"formatter\":{\"id\":\"4232\"},\"ticker\":{\"id\":\"4157\"},\"visible\":false},\"id\":\"4156\",\"type\":\"LinearAxis\"},{\"attributes\":{\"factors\":[\"BlackHatDemoHos$\",\"timvic\"],\"palette\":[\"#440154\",\"#208F8C\",\"#FDE724\"]},\"id\":\"4076\",\"type\":\"CategoricalColorMapper\"},{\"attributes\":{\"range\":{\"id\":\"4082\"},\"value\":-0.2},\"id\":\"4123\",\"type\":\"Dodge\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"field\":\"SubjectUserName\",\"transform\":{\"id\":\"4076\"}},\"height\":{\"units\":\"data\",\"value\":0.95},\"line_color\":{\"value\":\"#1f77b4\"},\"width\":{\"units\":\"data\",\"value\":3.5},\"x\":{\"field\":\"Level\",\"transform\":{\"id\":\"4107\"}},\"y\":{\"field\":\"Row\"}},\"id\":\"4109\",\"type\":\"Rect\"},{\"attributes\":{\"text\":{\"field\":\"cmd\"},\"text_baseline\":\"middle\",\"text_color\":{\"value\":\"black\"},\"text_font_size\":{\"value\":\"7pt\"},\"x\":{\"field\":\"Level\",\"transform\":{\"id\":\"4122\"}},\"y\":{\"field\":\"Row\",\"transform\":{\"id\":\"4123\"}}},\"id\":\"4125\",\"type\":\"Text\"},{\"attributes\":{\"ticks\":[1,2,3,4,5,6]},\"id\":\"4143\",\"type\":\"FixedTicker\"},{\"attributes\":{},\"id\":\"4148\",\"type\":\"DataRange1d\"},{\"attributes\":{\"range\":{\"id\":\"4082\"},\"value\":0.25},\"id\":\"4137\",\"type\":\"Dodge\"},{\"attributes\":{\"axis_line_color\":null,\"formatter\":{\"id\":\"4116\"},\"major_label_standoff\":0,\"major_tick_line_color\":\"navy\",\"ticker\":{\"id\":\"4093\"},\"visible\":false},\"id\":\"4092\",\"type\":\"LinearAxis\"},{\"attributes\":{\"end\":54,\"start\":-1},\"id\":\"4150\",\"type\":\"Range1d\"},{\"attributes\":{\"data_source\":{\"id\":\"4075\"},\"glyph\":{\"id\":\"4125\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"4126\"},\"selection_glyph\":null,\"view\":{\"id\":\"4128\"}},\"id\":\"4127\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"4098\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"4228\",\"type\":\"StringFormatter\"},{\"attributes\":{\"text\":{\"field\":\"Exe\"},\"text_baseline\":\"middle\",\"text_color\":{\"value\":\"black\"},\"text_font_size\":{\"value\":\"8pt\"},\"x\":{\"field\":\"Level\",\"transform\":{\"id\":\"4129\"}},\"y\":{\"field\":\"Row\",\"transform\":{\"id\":\"4130\"}}},\"id\":\"4132\",\"type\":\"Text\"},{\"attributes\":{\"text\":{\"field\":\"PID\"},\"text_alpha\":{\"value\":0.1},\"text_baseline\":\"middle\",\"text_color\":{\"value\":\"black\"},\"text_font_size\":{\"value\":\"8pt\"},\"x\":{\"field\":\"Level\",\"transform\":{\"id\":\"4136\"}},\"y\":{\"field\":\"Row\",\"transform\":{\"id\":\"4137\"}}},\"id\":\"4140\",\"type\":\"Text\"},{\"attributes\":{},\"id\":\"4154\",\"type\":\"LinearScale\"},{\"attributes\":{\"source\":{\"id\":\"4075\"}},\"id\":\"4135\",\"type\":\"CDSView\"},{\"attributes\":{\"ticks\":[1,2,3,4,5,6]},\"id\":\"4145\",\"type\":\"FixedTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"4075\"},\"glyph\":{\"id\":\"4132\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"4133\"},\"selection_glyph\":null,\"view\":{\"id\":\"4135\"}},\"id\":\"4134\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"4157\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"4156\"},\"grid_line_color\":null,\"ticker\":null},\"id\":\"4159\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"4093\",\"type\":\"BasicTicker\"},{\"attributes\":{\"text\":{\"field\":\"PID\"},\"text_baseline\":\"middle\",\"text_color\":{\"value\":\"black\"},\"text_font_size\":{\"value\":\"8pt\"},\"x\":{\"field\":\"Level\",\"transform\":{\"id\":\"4136\"}},\"y\":{\"field\":\"Row\",\"transform\":{\"id\":\"4137\"}}},\"id\":\"4139\",\"type\":\"Text\"},{\"attributes\":{\"formatter\":{\"id\":\"4234\"},\"ticker\":{\"id\":\"4161\"},\"visible\":false},\"id\":\"4160\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"4227\",\"type\":\"StringEditor\"},{\"attributes\":{\"callback\":null},\"id\":\"4099\",\"type\":\"TapTool\"},{\"attributes\":{},\"id\":\"4161\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"4160\"},\"dimension\":1,\"grid_line_color\":null,\"ticker\":null},\"id\":\"4163\",\"type\":\"Grid\"},{\"attributes\":{\"label\":{\"field\":\"SubjectUserName\"},\"renderers\":[{\"id\":\"4111\"}]},\"id\":\"4121\",\"type\":\"LegendItem\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":{\"id\":\"4184\"},\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"4164\"},{\"id\":\"4165\"},{\"id\":\"4166\"},{\"id\":\"4167\"},{\"id\":\"4168\"},{\"id\":\"4169\"},{\"id\":\"4184\"}]},\"id\":\"4171\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"SubjectUserName\",\"transform\":{\"id\":\"4076\"}},\"height\":{\"units\":\"data\",\"value\":0.95},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"width\":{\"units\":\"data\",\"value\":3.5},\"x\":{\"field\":\"Level\",\"transform\":{\"id\":\"4107\"}},\"y\":{\"field\":\"Row\"}},\"id\":\"4110\",\"type\":\"Rect\"},{\"attributes\":{},\"id\":\"4097\",\"type\":\"ResetTool\"},{\"attributes\":{\"items\":[{\"id\":\"4121\"}],\"title\":\"SubjectUserName\"},\"id\":\"4120\",\"type\":\"Legend\"},{\"attributes\":{},\"id\":\"4165\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"4226\",\"type\":\"StringFormatter\"},{\"attributes\":{},\"id\":\"4169\",\"type\":\"HelpTool\"},{\"attributes\":{\"range\":{\"id\":\"4082\"},\"value\":0.25},\"id\":\"4130\",\"type\":\"Dodge\"},{\"attributes\":{\"overlay\":{\"id\":\"4170\"}},\"id\":\"4166\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"text\":{\"field\":\"Exe\"},\"text_alpha\":{\"value\":0.1},\"text_baseline\":\"middle\",\"text_color\":{\"value\":\"black\"},\"text_font_size\":{\"value\":\"8pt\"},\"x\":{\"field\":\"Level\",\"transform\":{\"id\":\"4129\"}},\"y\":{\"field\":\"Row\",\"transform\":{\"id\":\"4130\"}}},\"id\":\"4133\",\"type\":\"Text\"},{\"attributes\":{\"axis\":{\"id\":\"4092\"},\"dimension\":1,\"grid_line_color\":\"navy\",\"ticker\":null,\"visible\":false},\"id\":\"4095\",\"type\":\"Grid\"}],\"root_ids\":[\"4204\"]},\"title\":\"Bokeh Application\",\"version\":\"2.1.1\"}};\n  var render_items = [{\"docid\":\"799438af-5e81-4052-a89f-44e91b100863\",\"root_ids\":[\"4204\"],\"roots\":{\"4204\":\"bdbb6432-a369-4a7f-9597-02fa889ccf63\"}}];\n  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    var attempts = 0;\n    var timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
                        "application/vnd.bokehjs_exec.v0+json": ""
                    },
                    "metadata": {
                        "application/vnd.bokehjs_exec.v0+json": {
                            "id": "4204"
                        }
                    },
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Build tree from selected root\n",
                "proc_tree = ptree.get_descendents(p_tree, ptree.get_roots(p_tree)[ptree.get_roots(p_tree)['NewProcessName']==root_proc_sel.value].iloc[0])\n",
                "# Visualize the tree\n",
                "process_tree = nbdisplay.plot_process_tree(data=proc_tree, legend_col=\"SubjectUserName\", show_table=True)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Looking a the processes above we can see some of the command line arguments appear to be Base64 encoded, this is a common technique employed by attackers to hide their activity. MSTICpy includes features to identify and [decode Base64 encoded strings](https://msticpy.readthedocs.io/en/latest/data_analysis/Base64Unpack.html) to allow for effective analysis."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 34,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>reference</th>\n",
                            "      <th>original_string</th>\n",
                            "      <th>file_name</th>\n",
                            "      <th>file_type</th>\n",
                            "      <th>input_bytes</th>\n",
                            "      <th>decoded_string</th>\n",
                            "      <th>encoding_type</th>\n",
                            "      <th>file_hashes</th>\n",
                            "      <th>md5</th>\n",
                            "      <th>sha1</th>\n",
                            "      <th>sha256</th>\n",
                            "      <th>printable_bytes</th>\n",
                            "      <th>src_index</th>\n",
                            "      <th>full_decoded_string</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>8</th>\n",
                            "      <td>(, 1., 1)</td>\n",
                            "      <td>QWxsIHlvdXIgc2VydmVycyBiZWxvbmcgdG8gZmF4aW5nLW1vbi5iZXN0IG5vdy4=</td>\n",
                            "      <td>unknown</td>\n",
                            "      <td>None</td>\n",
                            "      <td>b'All your servers belong to faxing-mon.best now.'</td>\n",
                            "      <td>All your servers belong to faxing-mon.best now.</td>\n",
                            "      <td>utf-8</td>\n",
                            "      <td>{'md5': 'c0635c256fbbfb3033a08929d1f90b53', 'sha1': '797345abadcbb2383bdb700444e7a3f46d4f5600', ...</td>\n",
                            "      <td>c0635c256fbbfb3033a08929d1f90b53</td>\n",
                            "      <td>797345abadcbb2383bdb700444e7a3f46d4f5600</td>\n",
                            "      <td>05f5c87e10357fd8d720e348579fcd13f4a41dd680c1674511f06d92216a3039</td>\n",
                            "      <td>41 6c 6c 20 79 6f 75 72 20 73 65 72 76 65 72 73 20 62 65 6c 6f 6e 67 20 74 6f 20 66 61 78 69 6e ...</td>\n",
                            "      <td>c:\\windows\\system32\\cmd.exe0x1a382020-07-10 18:28:47.660000</td>\n",
                            "      <td>cmd  /c echo &lt;decoded type='string' name='[None]' index='1' depth='1'&gt;All your servers belong to...</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "   reference  \\\n",
                            "8  (, 1., 1)   \n",
                            "\n",
                            "                                                    original_string file_name  \\\n",
                            "8  QWxsIHlvdXIgc2VydmVycyBiZWxvbmcgdG8gZmF4aW5nLW1vbi5iZXN0IG5vdy4=   unknown   \n",
                            "\n",
                            "  file_type                                         input_bytes  \\\n",
                            "8      None  b'All your servers belong to faxing-mon.best now.'   \n",
                            "\n",
                            "                                    decoded_string encoding_type  \\\n",
                            "8  All your servers belong to faxing-mon.best now.         utf-8   \n",
                            "\n",
                            "                                                                                           file_hashes  \\\n",
                            "8  {'md5': 'c0635c256fbbfb3033a08929d1f90b53', 'sha1': '797345abadcbb2383bdb700444e7a3f46d4f5600', ...   \n",
                            "\n",
                            "                                md5                                      sha1  \\\n",
                            "8  c0635c256fbbfb3033a08929d1f90b53  797345abadcbb2383bdb700444e7a3f46d4f5600   \n",
                            "\n",
                            "                                                             sha256  \\\n",
                            "8  05f5c87e10357fd8d720e348579fcd13f4a41dd680c1674511f06d92216a3039   \n",
                            "\n",
                            "                                                                                       printable_bytes  \\\n",
                            "8  41 6c 6c 20 79 6f 75 72 20 73 65 72 76 65 72 73 20 62 65 6c 6f 6e 67 20 74 6f 20 66 61 78 69 6e ...   \n",
                            "\n",
                            "                                                     src_index  \\\n",
                            "8  c:\\windows\\system32\\cmd.exe0x1a382020-07-10 18:28:47.660000   \n",
                            "\n",
                            "                                                                                   full_decoded_string  \n",
                            "8  cmd  /c echo <decoded type='string' name='[None]' index='1' depth='1'>All your servers belong to...  "
                        ]
                    },
                    "execution_count": 34,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "cmd_lines = p_tree.dropna(subset=['CommandLine']).copy()\n",
                "#Base 64 decode strings in our commandlines\n",
                "dec_df = base64.unpack_df(data=cmd_lines, column=\"CommandLine\")\n",
                "dec_df = dec_df.dropna(subset=['decoded_string'])\n",
                "dec_df.head()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## IoC Extract and Threat Intel Lookup\n",
                "With the host process tree above we have found some activity that appears malicious. However, we'd like to do some more validation without having to manually examine each process. One simple way to do this is to look for key Indicators of Compromise (IoC) in our data and check them against threat intelligence. We use MSTICpy's `IoCExtract` to [extract known IoC types](https://msticpy.readthedocs.io/en/latest/data_analysis/IoCExtract.html). We can then use the same threat intelligence feature used earlier with a single IP address to look up multiple IoCs."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 37,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>IoCType</th>\n",
                            "      <th>Observable</th>\n",
                            "      <th>SourceIndex</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>10</th>\n",
                            "      <td>ipv4</td>\n",
                            "      <td>32.220.60.108</td>\n",
                            "      <td>c:\\windows\\system32\\ping.exe0x20482020-07-10 18:28:47.830000</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>11</th>\n",
                            "      <td>dns</td>\n",
                            "      <td>Microsoft.Windows.Photos</td>\n",
                            "      <td>c:\\program files\\windowsapps\\microsoft.windows.photos_2020.19111.24110.0_x64__8wekyb3d8bbwe\\micr...</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>504</th>\n",
                            "      <td>dns</td>\n",
                            "      <td>AzureEvents.man</td>\n",
                            "      <td>c:\\windows\\system32\\wevtutil.exe0x1f682020-07-10 21:02:11.807000</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>225</th>\n",
                            "      <td>ipv4</td>\n",
                            "      <td>4.0.0.0</td>\n",
                            "      <td>c:\\windows\\microsoft.net\\framework64\\v4.0.30319\\ngen.exe0x14d42020-07-10 18:36:30.583000</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>dns</td>\n",
                            "      <td>microsoft.com</td>\n",
                            "      <td>c:\\windows\\system32\\cmd.exe0x26e42020-07-10 18:28:46.993000</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "    IoCType                Observable  \\\n",
                            "10     ipv4             32.220.60.108   \n",
                            "11      dns  Microsoft.Windows.Photos   \n",
                            "504     dns           AzureEvents.man   \n",
                            "225    ipv4                   4.0.0.0   \n",
                            "2       dns             microsoft.com   \n",
                            "\n",
                            "                                                                                             SourceIndex  \n",
                            "10                                          c:\\windows\\system32\\ping.exe0x20482020-07-10 18:28:47.830000  \n",
                            "11   c:\\program files\\windowsapps\\microsoft.windows.photos_2020.19111.24110.0_x64__8wekyb3d8bbwe\\micr...  \n",
                            "504                                     c:\\windows\\system32\\wevtutil.exe0x1f682020-07-10 21:02:11.807000  \n",
                            "225             c:\\windows\\microsoft.net\\framework64\\v4.0.30319\\ngen.exe0x14d42020-07-10 18:36:30.583000  \n",
                            "2                                            c:\\windows\\system32\\cmd.exe0x26e42020-07-10 18:28:46.993000  "
                        ]
                    },
                    "execution_count": 37,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# Extract IoCs from command lines\n",
                "ioc_ex = IoCExtract()\n",
                "cmd_iocs = cmd_lines.mp_ioc.extract(columns=['CommandLine'], ioc_types=['ipv4','dns'])\n",
                "b64_iocs = dec_df.mp_ioc.extract(columns=['decoded_string'], ioc_types=['ipv4','dns'])\n",
                "iocs = pd.concat([cmd_iocs,b64_iocs])\n",
                "iocs = iocs.drop_duplicates(subset=['IoCType','Observable']).copy()\n",
                "iocs.sample(5)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Similar to the alert viewer widget used earlier MSTICpy has a viewer for threat intelligence results to make reviewing the output easier.\n",
                "> Note: The full response details from the provider can be see in the collapsible `Raw Results` section"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 36,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "2e72350bd6544c8fadfb8bd45ed09673",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "VBox(children=(Text(value='', description='Filter:', style=DescriptionStyle(description_width='initial')), Sel…"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<hr>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<h2 style='border: 1px solid;background-color: DarkGray; padding: 6px'>secure-ssl-sec.com</h2><h3 style='background-color: SteelBlue; padding: 6px'>Type: 'dns', Provider: OTX, severity: high</h3><h4>Details</h4>\n",
                            "<style>\n",
                            "    .tb_ti_res {border-collapse: collapse; width: 60%; border: 1px solid #ddd !important;}\n",
                            "    .cell_ti {border: 1px solid #ddd !important;\n",
                            "        text-align: left !important; padding: 5px !important; height: 12px}\n",
                            "    .cell_ti_first {border: 1px solid #ddd !important; width: 25%;\n",
                            "        text-align: left !important; padding: 5px !important; height: 12px}\n",
                            "</style>\n",
                            "<table class='tb_ti_res'><tr class='cell_ti'><td class='cell_ti_first'>OTX</td><tr class='cell_ti'><td class='cell_ti_first'>pulse_count</td><td class='cell_ti'>5</td></tr><tr class='cell_ti'><td class='cell_ti_first'>names</td><td class='cell_ti'>['Malware - Malware Domain Feed V2 - June 04 2020', 'Malware - Malware Domain Feed V2 - February 10 2020', 'Cosmic Lynx: The Rise of A Russian BEC Group', 'Cosmic Lynx: The Rise of A Russian BEC Group', 'Cosmic Lynx The Rise of Russian BEC']</td></tr><tr class='cell_ti'><td class='cell_ti_first'>tags</td><td class='cell_ti'>[[], [], ['BEC', 'Phishing', 'social engineering', 'Russia', 'Email', 'COVID-19'], ['BEC', 'Phishing', 'social engineering', 'Russia', 'Email', 'COVID-19'], ['” “ corporate', '” “ matter', '” “ law', 'march', '” “ potential', '” “ new', '” “ possible', 'january', '“ corporate', '” “ liaise', 'august', 'june', 'april']]</td></tr><tr class='cell_ti'><td class='cell_ti_first'>references</td><td class='cell_ti'>[[], [], ['https://www.agari.com/cyber-intelligence-research/whitepapers/acid-agari-cosmic-lynx.pdf'], ['https://www.agari.com/cyber-intelligence-research/whitepapers/acid-agari-cosmic-lynx.pdf'], ['https://www.agari.com/cyber-intelligence-research/whitepapers/acid-agari-cosmic-lynx.pdf']]</td></tr></tr></table><h4>Reference: </h4><a href='https://otx.alienvault.com/api/v1/indicators/domain/secure-ssl-sec.com/general'>https://otx.alienvault.com/api/v1/indicators/domain/secure-ssl-sec.com/general</a><br><hr><h4>Raw Results</h4>\n",
                            "        <details>\n",
                            "        <summary> <u>Raw results from provider...</u></summary>\n",
                            "        <pre  style=\"font-size:11px\">{'alexa':&nbsp;'http://www.alexa.com/siteinfo/secure-ssl-sec.com',<br>&nbsp;'base_indicator':&nbsp;{'access_reason':&nbsp;'',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'access_type':&nbsp;'public',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'content':&nbsp;'',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'description':&nbsp;'',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'id':&nbsp;2209997916,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'indicator':&nbsp;'secure-ssl-sec.com',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'title':&nbsp;'',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'type':&nbsp;'domain'},<br>&nbsp;'indicator':&nbsp;'secure-ssl-sec.com',<br>&nbsp;'pulse_info':&nbsp;{'count':&nbsp;5,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'pulses':&nbsp;[{'TLP':&nbsp;'white',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'adversary':&nbsp;'',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'attack_ids':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'author':&nbsp;{'avatar_url':&nbsp;'https://otx.alienvault.com/assets/images/default-avatar.png',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'id':&nbsp;'83138',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_following':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_subscribed':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'username':&nbsp;'otxrobottwo_testing'},<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'cloned_from':&nbsp;None,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'comment_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'created':&nbsp;'2020-06-04T10:29:56.147000',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'description':&nbsp;'Command&nbsp;and&nbsp;Control&nbsp;domains&nbsp;for&nbsp;'<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Malware.&nbsp;These&nbsp;domains&nbsp;are&nbsp;'<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'extracted&nbsp;from&nbsp;a&nbsp;number&nbsp;of&nbsp;'<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'sources,&nbsp;and&nbsp;are&nbsp;suspicious.',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'downvotes_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'export_count':&nbsp;3,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'follower_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'groups':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'id':&nbsp;'5ed8cd24dea4063ecdd46ff0',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'in_group':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'indicator_count':&nbsp;1436,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'indicator_type_counts':&nbsp;{'domain':&nbsp;1104,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'hostname':&nbsp;332},<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'industries':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_author':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_modified':&nbsp;True,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_subscribing':&nbsp;None,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'locked':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'malware_families':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'modified':&nbsp;'2020-07-20T02:27:31.705000',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'modified_text':&nbsp;'16&nbsp;hours&nbsp;ago&nbsp;',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'name':&nbsp;'Malware&nbsp;-&nbsp;Malware&nbsp;Domain&nbsp;Feed&nbsp;V2&nbsp;-&nbsp;June&nbsp;'<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'04&nbsp;2020',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'public':&nbsp;1,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'pulse_source':&nbsp;'api',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'references':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'related_indicator_is_active':&nbsp;1,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'related_ind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sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Global&nbsp;2000&nbsp;companies.\"&nbsp;-Agari',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'downvotes_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'export_count':&nbsp;66,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'follower_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'groups':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'id':&nbsp;'5f04d03c68918d97811bda03',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'in_group':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'indicator_count':&nbsp;65,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'indicator_type_counts':&nbsp;{'domain':&nbsp;65},<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'industries':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_author':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_modified':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_subscribing':&nbsp;None,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'locked':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'malware_families':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'modified':&nbsp;'2020-07-07T19:42:52.567000',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'modified_text':&nbsp;'12&nbsp;days&nbsp;ago&nbsp;',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'name':&nbsp;'Cosmic&nbsp;Lynx:&nbsp;The&nbsp;Rise&nbsp;of&nbsp;A&nbsp;Russian&nbsp;BEC&nbsp;'<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Group',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'public':&nbsp;1,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'pulse_source':&nbsp;'web',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'references':&nbsp;['https://www.agari.com/cyber-intelligence-research/whitepapers/acid-agari-cosmic-lynx.pdf'],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'related_indicator_is_active':&nbsp;1,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&n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nbsp;&nbsp;&nbsp;'username':&nbsp;'Sand-Storm'},<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'cloned_from':&nbsp;None,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'comment_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'created':&nbsp;'2020-07-07T14:53:12.330000',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'description':&nbsp;'',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'downvotes_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'export_count':&nbsp;10,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'follower_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'groups':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'id':&nbsp;'5f048c58d60cfdb1a2e82d2e',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'in_group':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'indicator_count':&nbsp;126,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'indicator_type_counts':&nbsp;{'IPv4':&nbsp;61,&nbsp;'domain':&nbsp;65},<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'industries':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_author':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_modified':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'is_subscribing':&nbsp;None,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'locked':&nbsp;False,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'malware_families':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'modified':&nbsp;'2020-07-07T14:53:12.330000',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'modified_text':&nbsp;'13&nbsp;days&nbsp;ago&nbsp;',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'name':&nbsp;'Cosmic&nbsp;Lynx&nbsp;The&nbsp;Rise&nbsp;of&nbsp;Russian&nbsp;BEC',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'public':&nbsp;1,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'pulse_source':&nbsp;'web',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'references':&nbsp;['https://www.agari.com/cyber-intelligence-research/whitepapers/acid-agari-cosmic-lynx.pdf'],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'related_indicator_is_active':&nbsp;1,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'related_indicator_type':&nbsp;'domain',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'subscriber_count':&nbsp;139,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'tags':&nbsp;['”&nbsp;“&nbsp;corporate',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'”&nbsp;“&nbsp;matter',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'”&nbsp;“&nbsp;law',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'march',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'”&nbsp;“&nbsp;potential',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'”&nbsp;“&nbsp;new',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'”&nbsp;“&nbsp;possible',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'january',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'“&nbsp;corporate',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'”&nbsp;“&nbsp;liaise',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'august',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'june',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'april'],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'targeted_countries':&nbsp;[],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'threat_hunter_has_agents':&nbsp;1,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'threat_hunter_scannable':&nbsp;True,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'upvotes_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'validator_count':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'vote':&nbsp;0,<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'votes_count':&nbsp;0}],<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'references':&nbsp;['https://www.agari.com/cyber-intelligence-research/whitepapers/acid-agari-cosmic-lynx.pdf']},<br>&nbsp;'sections':&nbsp;['general',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'geo',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'url_list',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'passive_dns',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'malware',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'whois',<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'http_scans'],<br>&nbsp;'type':&nbsp;'domain',<br>&nbsp;'whois':&nbsp;'http://whois.domaintools.com/secure-ssl-sec.com'}</pre>\n",
                            "        </details>\n",
                            "        "
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# TI Lookups\n",
                "ti_resp = ti.lookup_iocs(data=iocs, obs_col=\"Observable\")\n",
                "select_ti = browse_results(ti_resp, severities=['high','warning'])\n",
                "select_ti"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Review domain\n",
                "We have appear to have identified a malicious domain to go with the IP address identified earlier in our investigation. In order to complete our investigation we want to get some context on this domain in the same way we did with the IP address. Again MSTICpy has a number of tools to help with this, including features to [validate a domain](https://msticpy.readthedocs.io/en/latest/getting_started/PackageSummary.html?highlight=screenshot#domain-utils) and [screenshot a URL](https://msticpy.readthedocs.io/en/latest/getting_started/PackageSummary.html?highlight=screenshot#domain-utils).\n",
                "\n",
                "> Note: these tools use publicly-available services such as *abuse.ch* and *Browshot*"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 38,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<p style=''>Is secure-ssl-sec.com a valid domain?  <b>True</b></p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<p style=''>Is secure-ssl-sec.com resolvable? <b>True</b></p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<p style=''>Is the TLS cert used by secure-ssl-sec.com in abuse.ch's abuse list? <b>False</b></p>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "dom = select_ti.value[0]\n",
                "dom_val = domain_utils.DomainValidator()\n",
                "md(f\"Is {dom} a valid domain?  <b>{dom_val.validate_tld(dom)}</b>\")\n",
                "md(f\"Is {dom} resolvable? <b>{dom_val.is_resolvable(dom)}</b>\")\n",
                "md(f\"Is the TLS cert used by {dom} in abuse.ch's abuse list? <b>{dom_val.in_abuse_list(dom)[0]}</b>\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 39,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Getting screenshot\n"
                    ]
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "406c1b88717f43e4ab2e8da7f531aa7f",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "IntProgress(value=0, max=40)"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<IPython.core.display.Image object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "image_data = domain_utils.screenshot(\"secure-ssl-sec.com\")\n",
                "with open('screenshot.png', 'wb') as f:\n",
                "        f.write(image_data.content)\n",
                "\n",
                "display(Image(filename='screenshot.png'))"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Resources\n",
                "## MSTICpy:\n",
                "- msticpy Github https://github.com/Microsoft/msticpy\n",
                "- msticpy Docs https://msticpy.readthedocs.io/en/latest/\n",
                "- msticpy Release Blog https://medium.com/@msticmed\n",
                "\n",
                "## MSTICpy maintainers:\n",
                "- Ian Hellen [@ianhellen](https://twitter.com/ianhellen)\n",
                "- Pete Bryan [@MSSPete](https://twitter.com/MSSPete)\n",
                "- Ashwin Patil [@ashwinpatil](https://twitter.com/ashwinpatil)\n",
                "\n",
                "## Other useful stuff:\n",
                "- Azure Sentinel Github Notebooks https://github.com/Azure/Azure-Sentinel/Notebooks/tree/master\n",
                "  - (Samples with data in Sample-Notebooks folder)\n",
                "- Azure Sentinel Tech Community Blogs https://aka.ms/AzureSentinelBlog"
            ]
        }
    ],
    "metadata": {
        "interpreter": {
            "hash": "2bc37074a50de3994d4ebdf9197e864a43c9c15c9793b7f9f3363bcff9457253"
        },
        "kernelspec": {
            "display_name": "Python 3.6",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.9.7"
        },
        "widgets": {
            "application/vnd.jupyter.widget-state+json": {
                "state": {},
                "version_major": 2,
                "version_minor": 0
            }
        }
    },
    "nbformat": 4,
    "nbformat_minor": 4
}
